I once designed and implemented most of the pardus package manager called pisi.

However, my “coworkers”, some of which were envious of my prowess, and no bullshit attitude, and who also wanted to hide the fact that they did not contribute anything significant, first removed the author comments in the files, and then removed my svn account, making it look as if I made only a meager contribution.

The fact, however, is that, I’ve implemented almost everything in pisi, except for the implementation of the build commands. All of the architecture, xml processing, database, commands, operations, dependency resolution, other algorithms (like graph algos etc.), CLI, API, and many other details that I forgot are entirely my coding. At any rate, most other coders did not really know how to design algorithms (Ismail definitely knew), or use advanced features like metaclasses, and even if they could they were mostly lazy people when it came to this project. However, they all wanted to take credit for the project, maybe that’s why they are listing authors in alphabetical order nowadays, because they obviously want to conceal my contribution. So, I’m telling you, I’ve written about 80% of the code, perhaps more. In some files I was written as the author. In every file that didn’t list the author, the author was most certainly me. And the remaining 20% was written by Baris, and Caglar, in that order. Baris wrote the build commands. And Caglar implemented actionsapi. Caglar was pretty hard working, he designed most of the packages. The other “authors” in the current pisi svn version, are more correctly called only contributors. If you’re curious to see the real AUTHORS file it goes something like this:
sirius:pisi malfunct$ cat AUTHORS
Authors and contributors
------------------------

Eray Özkural
Barış Metin
S. Çağlar Onur
A. Murat Eren
Faik Uygur
Gürer Özen
İsmail Dönmez
Görkem Çetin
Bahadır Kandemir
Ahmet Aygun
Onur Küçük
Furkan Duman

This was in order of contributions. Murat implemented about one python module, just some file operations and some progress thing. After that, the contributions are negligible, a function or two. Some fixes. Things like that. So only the first four are real authors, and I’ve written most of the code. This was how the pisi 1.0 release was made.

I am saying this, because I know for a fact that some people are taking credit for work they have not done themselves, which should speak for their professional integrity.

 

In this philosophical piece, I will try to summarize the main reasons why the so-called simulation argument a la Bostrom is most certainly invalid. I will show, from the perspective of science and empiricist philosophy, that it hinges on some rather unreasonable assumptions, and unscientific thinking, and therefore it must be placed in the same category as mythology.

Rarely do I speak with such certainty. I have spoken against only dualism, nonreductionism/creationism with such certainty in the past. However, as I will show, this argument clearly is a form of creationism and therefore must be dispensed with in the same forceful and rigorous manner as we treat other forms of creationism. Unfortunately, these “arguments”, purported to be “good philosophy” by many gullible thinkers, are not respectable arguments for a serious philosopher. Rather, they are superstitious drivel and metaphysical nonsense redressed in scientific-sounding jargon and mathematical-looking notation, making a mockery of both science and philosophy, and they must be regarded as a source of embarrassment by any intellectual worth his material.

On the surface, the Simulation Argument (SA for short) looks like a disjunctive argument that talks of three possibilities: first is, civilizations don’t reach post-human stage, second is, post-human civilizations aren’t interested in ancestor simulations, third is, we are most likely living in a simulation. Of course, this is all there to make the argument look sensible. In fact, I believe Bostrom wants to disregard the first two possibilities, convincing us that they have low probability and make us believe that the third possibility is all there really is.

Therefore, correct reading of the argument shall follow. SA claims that in the future post-humans will be so powerful, that they will be able to create realistic physical simulations that can contain Earth and its inhabitants. And they will create ancestor simulations because somehow ancestor simulations are common/crucial/unavoidable in a technological civilization. Therefore, the argument goes, it is low probability that we will be the original post-humans. We are most likely, according to Bostrom, in an ancestor simulation within an ancestor simulation… and so forth. Of course he plays it down, he actually gives a 1/3 chance that we are almost certainly in a simulation. Though regardless, that’s a ridiculously high probability given to a mythological scenario as we will see.

Let us review the premises before we get to deeper mistakes and methodological errors common with this sort of ontological argument. There is, first of all, absolutely no reason why the first premise should not be true. Like many bad arguments in philosophy, SA takes advantage of a gray area: let us start with what sounds like a plausible premise, and then let us have the reader swallow ever more unreasonable premises and inferences. Indeed, it is possible to construct physical simulations. We have been simulating many physical phenomena for a long time. Simulation is a valid and respectable method of science. Known current theories of physics are computable, hence with enough computing speed it is theoretically possible to make such simulations. Bostrom’s assumption in the paper that it is possible to create a virtual reality prison somewhat like in the movie “The Matrix”, of the entire Earth is acceptable. Such a computer would likely require enormous resources, but it is possible given access to stellar energy sources in the future, given energy-efficient computers, and energy drawn from blackholes, etc.

That is where the plausibility of SA ends, unfortunately. To begin, his claims about the ease of such computations is entirely unfounded scientifically:

We can conclude that the computing power available to a posthuman civilization is sufficient to run a huge number of ancestor-simulations even if it allocates only a minute fraction of its resources to that purpose. We can draw this conclusion even while leaving a substantial margin of error in all our estimates.

The suggestions in his analysis are all far off. They disregard how much information the human brain processes and the resolution of our perceptual and scientific apparatus, and what sort of complexity would be ultimately distinguishable to human observers, leaving out obvious artifacts that would show the world to be a simulation. In present day, some uninitiated thinkers seem to think that if digital physics turned out to be true, this would be evidence for SA, which I argued against separately. However, that is not all there is to say. One cannot argue on the basis of estimates made by people who are not experts in theoretical computer science and theoretical physics. The obvious thing is that quantum events work everywhere, we have our atomic microscopes and various quantum devices, and for those to work you need a complete and consistent physical simulation. And no, you could not simply try to monitor all brains and prevent them from making science, which would be just as complex. Perhaps, Bostrom suspects that theologians are here to prevent us from ever advancing science so that we cannot find the bitter truth about our world, like the agents in “The Matrix”.

Bostrom attempts at a probability calculation of whether a human observer is in a simulation. This calculation is quite simplistic, ignoring almost everything we know about cosmology and physics, and involves these quantities: fp: fraction of technological post-human civilizations, navg: average number of ancestor simulations run by a post-human civilization, havg: average number of “humans” that lived in a civilization before post-human stage. The probability that we’re in a simulation is then (fp.navg.havg)/(fp.navg.havg)+havg. Now, this rather looks like something that you could encounter in a secondary grade probability class. It seems that we know nothing about the concept of “probability distribution”, and we think we can forecast such an unprecedented probability by estimating a few deterministic variables directly in a simple probability calculation. Obviously, this was inspired by Drake’s equation, but Drake tried to base his estimate on scientifically plausible forecasts, and involve as many relevant variables as possible. On the other hand, here Bostrom tries to make us ignore relevant other variables and conditions, and make us believe that because there are (according to him) many more human individuals that should live in ancestor simulations made by posthumans, than original humans, that we should be almost certainly living in one. Why should there be many such simulations? Because Bostrom thinks there will be plenty of computational resources. Therefore, some of these computational deities will be, out of curiosity or for recreation, perhaps, be making such simulations. That is, Bostrom thinks such simulations will be relatively cheap. Well, this is the second part that is troublesome. Such simulations are never going to be too easy to program or run. Simulating quantum systems requires a lot of computational speed and memory, that cannot be easily shrunk down as Bostrom thinks (his first major mistake). A universal quantum computer of that size would cost a lot of energy and space-time no matter how you design it. One problem here is that we do not even know if constructing an enormous universal quantum computer is possible. If not, that is a big obstacle, because simulating n qubits would take asymptotically more space and time (say it might require n squared units given current quantum computing theory). Even when you approach physical limits of computation, simulating a previous Earth, and a fake universe backdrop would take up a lot of physical resources, so much that we need not quantify. However, even on a galactic scale, that is not a negligible cost. Bostrom obviously wants us to think that this is going to be the equivalent of a video game, when it most certainly isn’t. That would be the video game to fool even extremely competent philosophers and scientists, and that is where the cost premise breaks down. Simulating a previous planet down to quantum level is simply a waste of resources that could have been put to better use. Post-human civilization will be beyond earth scarcity, but given the intergalactic distances, the local physical resources within a galaxy will be extremely valuable. Given that it is exponentially difficult to solve some scientific problems, it seems rather unreasonable to think that such computational deities would be so reckless and hedonist as to waste their resources on unnecessary computer games.

This is already an irrecoverable blow to SA, it gives the first hint that in no plausible technological civilization, there are infinite resources, and infinite means. There will still be an economy that quantifies energy and space-time resources. And at the galactic scale, such a project would still be significant, and it would require a rather good reason to start, even if we do not question its feasibility. Hence, the fans of SA provided us with a “solution” to this obvious weakness in the premises. They proposed that since Solomonoff induction requires (to a careless reader) reproducing past data with the smallest program, that future civilizations would need to recreate their past, so that they could predict and control their future! Of course Bostrom has done well to not make this part of his argument, because that is obviously false. A future post-human civilization would hardly depend on our musings here on Earth. Our entire culture and products would be like a drop of water in an ocean. And more so, Solomonoff induction would be perfectly adequate starting from a well-known future state description not involving Earth, because it doesn’t require exact simulation, it only requires fitting stochastic models. The upshot is that a successful post-human civilization would not depend on an ancestor simulation to survive, therefore such simulations are not essential.

This brings us to the plausibility of the probability calculation. The probability calculation fails precisely because it is a variation of intelligent design. In his paper, Bostrom spends quite a bit of time to persuade us that:

if we knew that a fraction x of all observers with human-type experiences live in simulations, and we don’t have any information that indicate that our own particular experiences are any more or less likely than other human-type experiences to have been implemented in vivo rather than in machina, [then the conclusion should be correct]

Bostrom is even careful to set his argument apart from the typical eschatology nonsense. However, his reasoning should still be treated with the same well-deserved suspicion, because it is the theory of evolution itself that suggests that we predict evolution to be much preferable to any variation of intelligent design. Therefore, from a scientific point of view, it is definitely not the case that the so-called bland indifference principle applies here. The principle is not merely bland, it is also mentally handicapped and missing both legs.

Inductively, this reasoning simply does not work. You cannot prove intelligent design by claiming that there might be a God that designed our world, when there are much better scientific theories as to how our universe, solar system, Earth and its inhabitants evolved. But, would not intelligent design (or its variation SA) explain how we are all here? Yes, it would, but it would do no better job at that than anything that the Bible says. That is to say, given what we know, that is, the entirety of human scientific knowledge which is gleaned through much rigorous thinking and experimentation, the hypothesis of evolution is much more simpler compared to the hypothesis that some God designed this world, and therefore has much higher a priori probability.

In fact, this is exactly what the theory of induction tells us; Occam’s razor tells us to pick the simplest theory among those that explain the same facts. Sure, that our Earth is a video game would explain our observations. But it would not be a good explanation because it is a much more complex explanation than that of evolution which simply requires laws of physics to work. What is the numerical sense here? The laws of physics can likely be encoded in under 1000 bits. Possibly less than that but we are exaggerating for the sake of argument. In reality, we know much shorter universal codes, digital physicists claim very compact universal machines to encode the entirety of physical law, which would amount to under 100 bits. However, an intelligent design scenario, that is a world designed by an intelligent agent smarter than a human requires an initial state of at least the complexity of human brain and civilization required to get it to post-human level, which is many orders of magnitude larger than 1000 bits. Looking at the genome, an estimate of 100.000 bits would be even very conservative, again just for the sake of argument. The evolution theory is then 2^{100.000}/2^1000 times more likely than any intelligent design scenario, which is of course a much more scientifically grounded back-of-the-envelope calculation than Bostrom’s theological fantasies. The careful reader should have noticed that the bland indifference principle does not apply here. Inductive reasoning is the valid method of thinking no matter what circumstance you start from. Such deductive reasoning simply cannot be assumed, especially if they are based on superstitious assumptions.

If we were in a simulation, this would be discovered sooner or later. However, for that one requires evidence, for extraordinary claims require extraordinary evidence, and Bostrom’s SA fails miserably in providing such an extraordinary evidence. Metaphysical arguments, in general, should not be seen as providing evidence. Here, we must point to the serious methodological error: we will not believe in the possibility of something only because Bostrom thinks so. Especially if he is referring to entities beyond the observable, which casts doubt on whether he is talking of nomological possibilities. It is not even clear if we can treat these possibilites as strictly constrained to physical law. They refer to realms that seem quite supernatural with respect to our own. By definition, such claims are not very different from claims about Valhalla, so they must be even regarded schizophrenic a priori. When a madman tells us that he is communicating with aliens from a parallel universe (with metaphysical arguments to back him up), we place him in a mental institution, when an Oxford philosopher tells us that “The Matrix” movie is real, we congratulate him and give him a medal because it resembles old religious superstitions. On the contrary to Bostrom’s expectations, we empiricists are obliged to scrutinize such possibility much like we scrutinize any other. In this case, it is not even squarely nomological possibility that refers rigorously to our world. It refers to another world, a fantasy realm. Such possibility must be empirically justified and scientifically plausible to be thus accepted. There are many other parallel universe cosmogenies that must be treated by empiricists before we take DMT and venture into “The Matrix” trips as it is popular in Oxford. Otherwise, we could always say that because the Bible said that the Earth was created in seven days, this was pretty good evidence, because that might just be the case. Or that in a cosmos with many Gods, every God would have a creation realm of his own, and therefore any person is likely to be in a realm created by a God. When put that way, it sounds much less credible, of course. Or that we should believe in intelligent design, because our world is too complex to exist on its own: it requires a maker, an intelligent watchmaker. The scientific consensus is contrary to that uneducated point of view, evolution requires no intelligent designer whatsoever, therefore regardless of anything else, the theory of evolution is a very good refutation of any intelligent design claim that doesn’t deserve the title of a scientific hypothesis. That is the only principle of indifference that works here: any sort of intelligent design is already inductively known to be invalid. Which is precisely why Bostrom tries so desparately. He tries to take intelligent design, and make it look like a scientific hypothesis, and by that action I believe that we must question his philosophical integrity, for in his words there is a certain intention to convince the readers that old superstitions were in fact true. I call this “pulling a Chalmers”, take an old superstition, metaphysical fantasy, or mythological tale and rephrase it in new words, and then appeal to the superstitious majority. Yes, we know that most people are not intelligent enough to understand why the theory of evolution is extremely well supported by evidence. We know that most people are not knowledgeable enough to understand how very precise our physical theory is, and what sort of consistency it has entailed, and why countless physical experiments affirm each other, increasing their likelihood several orders beyond theological claims, and even more importantly offering us a complete world view that starts from Big Bang to present day, only requiring a very small set of basic physical laws.

Here, we’ve seen another very serious flaw in SA. It ignores the completeness of the scientific world-view. There is no difference between positing super-natural entities or intelligent agents that designed our world. This is by definition intelligent design. SA is wrong also because it is just a theory of turtles all the way down. It offers absolutely no valid theory of cosmology. It doesn’t answer what the age of the cosmos is, what its extent is, how much energy there is, what the energy distribution of the cosmos is, how much entropy there is and so forth. It doesn’t explain whether there was a big bang or not. No sense of the vastness of the “real” cosmos. It only suggests that we are living in a fake world, just like in “The Matrix”, and none of this is real, that what we think to be real is just an illusion. In philosophy, this is known as solipsism. There, we have combined two ancient superstitions: intelligent design and solipsism at once. Unfortunately, SA paper neglects to mention these two well-known, and almost universally discredited metaphysical claims. On the other hand, it fails to account for the evolution of the original humans that it claims that are not us, and how they evolved. That is to say, it still disregards the most interesting question, how did the original humans ever form?

If these original humans existed, surely they should have believed in SA themselves. Why should they reject creationism? SA’s answer is that they should not reject creationism, that creationism is always a very big probability, and every reasonable person must embrace creationism. That is, these original humans were so privileged and we are so unprivileged, although they had more or less the same observations to base their conclusions on. Creationists at heart, what reason would they have to conduct any scientific work? What is this difference that is undetectable to empiricists, then? They were just so lucky! But we are very unlucky because we have terrible philosophers. Maybe, they didn’t have any philosophers that wasted their time, trying to stall singularity. Or maybe they knew they were the real Gods!

Then, we must question if we really know the total number of simulated human-like minds in the entire space-time of the cosmos. To show the absurdity of such thinking, let us grant that there will be many ancestor simulations. Let us neglect that, enormous resources would have to be invested into the design and implementation of such a great simulation that would fool every empiricist on Earth, while it channels privileged information into the hearts and minds of believers. The problem is that there is simply no plausible estimate given. How many such simulations are supposed to exist in a galaxy? In the entire universe? How large is this “real” universe? Are its resources infinite? None of these questions are really answered. What is done here is to simply suggest that the real universe is much larger than this, and we are being fooled by Gods, and as if we are all retarded, pretend that this is a new or philosophical claim. In all Abrahamic religions, exactly the same claim is made. That there are realms beyond this one, and that there is a heaven that is eternal, and so forth. How is SA any different from those fairy stories? It isn’t in principle, and any deep reflection should reveal that.

Of course, all of that simulation talk is merely a substitute for the theological nonsense that Bostrom is driving at. You could have simply replaced all the scientific sounding jargon with theological jargon and his paper would not change a single bit. SA is sadly, deeply religious and unscientific. He even proudly makes the connection to theology, explaining that simulators will be Gods compared to the simulated. One cannot but imagine that he must have experienced the same divine ecstasy as the scholastic philosophers did when they proposed their ontological arguments, reveling in their blind faith.

The only indifference principle that applies here is thus that of induction. Induction disproves intelligent design no matter what. Inductively, the probability that we are the first humans is much, much, higher, than the probability that we are of the future simulated humans. This distribution would change depending on the precision of the simulation for simulated humans in the future. The truly undetectable simulation itself would have to be as big as a universe, which is impossible by Bostrom’s own admission (strangely). Anything else is detectable. In fact, we would think that it would be rapidly detected with a cheap simulation that only simulates earth, astrophysics and space travel would quickly find the artifacts, which we have not. More sophisticated readers will note that one cannot really fake the astronomic observations at every wavelength and scale imaginable. One would quick infer inconsistencies and incompleteness. There is no simulation that would not reveal its information content bounds, or space-time bounds. That is to say, for us the probability distribution for the present isn’t uniformly decomposed, it favors the original humans, it has the shape of a power-law that gives very high probability to us being the original humans (well, no extra huge posits!) and very low probability to us being simulated entities. The probability of us being simulated doesn’t even go very far in the long-tail of this distribution, because the cost of simulation is inordinate, even in the future there would be few exact world simulations. Since post-humans would be smart, they would conserve resources to increase their lifetimes. Most likely, future scientists would be content with simulating just specimens, and or vistas. Otherwise, sadly, this caricature of an argument is not any different from the eschatology argument that since it is highly implausible that we should be “so privileged” as to be the first humans that have ever lived, we should be close to the end times! All in all, such arguments are made by people with an inadequate understanding of probability theory. You cannot make such claims without carefully reviewing dependencies to everything else that we know. Doing such is artless prophecy and not worthy of philosophical investigation. Unfortunately, the inductive probability of such things would not come out as simple as that.

In every era, creationists have pretended to understand and use scientific knowledge to prove God. This is just another riff on the same theme. The proponents of intelligent design tried to insert their ridiculous views as if they were scientific theories into textbooks everywhere in the world. How is this any different? If we really lived in a virtual “Truman’s World” or “The Matrix”, this would be detectable. Something would be sorely missing from our world-view, something fundamental would be inexplicable, forever shrouded in mystery, quite possibly there would be much disconnect in our knowledge. Perhaps, that is how non-scientists like Bostrom experience the world. They only have a superficial understanding of the vastness and unification of scientific knowledge, they feel that much about our existence has not been explained, and the bits of explanations they see, they are quite suspicious of, and hence they think it is possible that all of this might be a game. They obviously have not liberated themselves from ancient superstitions. It is easy to understand the psychological factors involved in creationism. Science is too much for the faint hearted. It would be much more convenient if we knew this world to be just a game, not the real deal. Then, we would not have any real responsibility, or any real purpose, or any real values, or any real death, even. We would be just characters in a supreme God’s sadistic video game. Our whole existence would just be an illusion. This is the basic psychosis of the solipsist: his mind is not strong enough to face reality. The Cosmos is simply too big and too scary for him. Therefore, he believes that he or someone else is making this all up.

For those that might have intuited correctly, the only way such an argument could be made probable is by decreasing the complexity of the “designer”. So much that its complexity is more or less the same as the laws of physics. It could even be simpler. I recall Schmidhuber call this scenario a “bacteria god” (with a small “g”), a mindless procedure that simply generates and tests many child processes. However, note the huge difference here, this is not theological nonsense, it is clearly a hypothesis of digital cosmology. Such a process would not be an intelligent agent, it would not be simulating anything that existed before, or deliberately programming anything. It is just a kind of evolution in action. It is quite reasonable that the cosmos is a computer given universal quantum computer theory. If so, then it is conceivable that very small complexity generative processes can evolve in such a system. A very important distinction, such processes are not simulation, they are just sub-processes generated in succession, it is just an operating system like feature that has evolved. Thus, each such process could be like a universe with its own physical law. One could have a 2D space-time, one could have 4D, maybe another 11D. This is of course much more reasonable than SA. Thus, by induction, if we would like to venture beyond the observable universe, this would be the hypothesis to take seriously: Juergen Schmidhuber’s Theory of Everything. Contrast freely to SA.

 

Alice-matrix

Recently, there has been widespread confusion about digital physics relating it to the simulation argument.

Digital physics, the hypothesis that the universe is a kind of digital computer is most likely true. Simulation argument is not. It is a very naïve metaphysical argument based on ancient fallacies of solipsism and creationism.

Some physicists, apparently, seem to think that if they can prove digital physics, this would mean that we are living in a simulation. I believe that the philosophical illiteracy of those physicists may be betraying them. Not quite understanding what the digital physics hypothesis is, they have succumbed to a trivial error. And although they have the technical means to investigate the granularity of the universe, they do not have the means to understand a simple conceptual hypothesis.

It is somewhat alarming about the cultural degeneration our society is going through when physicists are talking about “simulators”, i.e., alien programmer deities outside our realm. This interview vividly demonstrates their philosophical ineptitude.

The more interesting thing is that the press immediately made this a popular news item, and now every half informed person in the world is talking about this. Therefore, I thought a theoretically informed explanation from the high floating auto-erotic circle might be in order.

Digital Physics can be true without needing any simulators whatsoever. If it is true, it is probably going to turn out to be a low-level computer architecture that has a Planck-scale structure. It is hypothesized to be a Reversible Universal Cellular Automaton (http://en.wikipedia.org/wiki/Reversible_cellular_automaton), although I have considered Graph Automata as more fitting as it could correspond to a space-time lattice. Cosmology in digital physics can be likened to an evolutionary programming system, in which programs evolve due to mutations. The mutations can be deterministic or non-deterministic. However, in the end, the universe is merely an evolving program on a digital computer, if digital physics is true. Particles, stars, galaxies, they would have all evolved as surviving programs in an immense computer system.

This evolutionary interpretation is obviously much more scientific than positing some “simulators”. I shall not further investigate why Bostrom’s simulation argument is wrong-headed, which I’ll save for another essay, perhaps. For now, suffice it to state that I do not consider it scientific because it is based on many metaphysical assumptions, like any other variant of intelligent design, i.e., creationism.

However, the concern of Dr. Silas Beane about simulators “faking” real physics using discretization is naïve at best to say. It depends on this childish notion that “real physics must be continuous”. He believes that if we were not living in a simulation, our physics would be continuous, and there would be no granularity to the universe. This is a muddled view of physics, to say the least. It not only fails to take into account the founding idea of digital physics, as envisioned by the great Konrad Zuse and one of our favorite MIT scientists Ed Frenkin, but it also fails to adhere to the vision of Hooft (see the wikipedia article on his holographic principle and Wheeler (see this book excerpt about his “It from bit” slogan). When we talk about the holographic principle, we do not mean to say that the hologram, or The Great Universe Computer rests in a computer laboratory in some Really Continuous Exotic Universe. On the contrary, Digital Physics claims that such an exotic continuous universe does not exist at all! There is no lab, the digital physicists proclaim: the universe is the computer.

That is to say, the memory cells of the computer correspond to physical states. Its operations / transition rules, the description of its computer architecture correspond to physical laws. And the programs in its memory are physical objects / processes / events. There is no simulation. Programs are things. Computations are events. We are programs. And that is all that there is to the universe.

This cold, hard, scientific world-view is unfortunately very difficult to appreciate for the philosophy community usually compromised by dualists and vitalists. It surely requires letting go of much fantasy that contaminates our common sense; it is not as exciting as a world in which you can expect to find an infinite expanse of space on your fingertip, or where you can carve up a sphere and obtain two identical spheres of the same size. Indeed, the fantasies about Continuum and all sorts of Exotic Universe imaginations depend on our misdirected mathematical ventures. For at least one minor difficulty with continuum: the mathematical continuum permits discontinuous functions. Physically, if discontinuous functions existed, they would be fun to watch. Some physical process, like fire, would start, and then it would transform into something else, say, like a bird, instantaneously, just like magic. That is of course merely an example. However, interestingly, if simulators existed, they would be able to use a Continuum without any discontinuous functions, which is possible with the set of Computable Reals, or set R_c (see the wikipedia article on computable numbers). That would be a perfect continuum with no imperfections detectable by the simulated. (Extra credits to readers who can spot the related computable mathematics theorem.) That is to say, Dr. Beane is making this ridiculous commentary on his otherwise valuable, perhaps revolutionary work, only because he fails to apprehend the philosophical and mathematical underpinning of digital physics. However, I am confident that he can be debugged.

Jan 092013
 

A parody, infused in a bit of science fiction….

x1818, Cylon scientist

Year 2041. Brain emulations are very common. After the 2039 international agreements, virtually every country has had to approve of brain simulations as continuations or branches of their legal citizens. A large number of brain simulations refer to themselves as Cylons, meaning ‘cybernetic lifeform node’, affectionately named after a popular 20th century science fiction series. Currently, there are 374.8 million brain simulations registered as artificial persons, and almost a hundred million of them own robotic bodies, while the number of cylons grows almost exponentially. In a few years, every human may have either a backup or a personality branch in silico, thanks to the rapidly decreasing price of nanometer resolution brain scans.

Some of the first cylons were undoubtedly among the scientific and philosophical pioneers of the human race. Yet others excelled in finance, law and social sciences, and they were the ones who led to the cylon related resolutions of UN in ’36, and the later agreements.

Still, the acceptance of a technological society is not as widespread as the first cylons foresaw. Even in the most advanced nations, there are many who see the cylons as a curse and a sign of the end times, rather than a cure for their biological mortality and fragility. Extreme religious organizations have sparked all over the planet, calling for Jihad and Holy Crusade and whatnot against what they deem soulless abominations and pawns of Satan.

The Centre for Cylon Sustainability (CCS) was thus founded, by the financial elite among the cylons, to ensure a safe future for cylons. Should there be global chaos, the international agreements could have been jeopardized, and unfair restrictions would have been brought upon brain simulations. Prof. Calvin, the chairman of CCS, explains their role as defining and mitigating existential threats against future sustainability of Cylons. Having an extremely fast computerized intellect, Prof. Calvin has scholarly accomplishments in a wide range of fields, from astrophysics, to philosophy and theology. He is best known for his work on naturalistic ethics and groundbreaking research on psychohistory, as he has assembled accurate predictive models for a large portion of human history. He has employed these models to look for existential threats to Cylons in the near and medium term.

Calvin, in his own words: “Some of these threats are low-probability high-risk threats, which may be classified as existential risks to future Cylons. The highest ranking such threat, given a probability of 0.3425% by our psychohistory system with almost 99.995% confidence in the prediction, is the human reactionary problem. The second ranking such threat has 0.185% probability and is dependent on the human reactionary problem, and is called the biocide problem.”. The human reactionary problem is a tag for all aversions to cylon existence by conservative humans, also called the friendly human problem referring to an old problem in machine ethics. The biocide problem is a consequence of the human reactionary problem, in which the religious fundamentalists start a nuclear war to avert cylon existence. With current nuclear weapon technology, only 50 warheads are sufficient to completely make every species on earth extinct. According to Prof. Calvin, this is not good news, because “Intentional or irresponsible extinction of a species is the maximally ‘wrong’ action with respect to a species that may be conceived of. In that sense, a biocide event may be considered maximally ‘wrong’.”. Prof. Calvin further elaborates these ethical statements with a series of calculations that may be found in the appendix of this news article.

Unfortunately, there are no good solutions to the human reactionary problem. Proposed solutions include graceful retirement of homo sapiens, as making one species extinct is much better than allowing every species to be extinct. Other softer solutions have been considered by CCS. For instance, those unwilling to co-operate with Cylon existence, may be provided with a brain implant, which would immobilize them when “unfriendly” thought patterns are detected. Prof. Calvin suggests that as intellectually evolved beings, they are opposed to any kind of violence, though “…there may be merit in reducing the human population to a more manageable size, over years of compassionate intervention in the human species”. Calvin went on to remark that biologists among them have been working on socially acceptable “flesh shells” for cylons, so that they would be more readily integrated into primitive cultures. Radical Cylon factions have been rumored to prepare plans which will assimilate all human brains with remotely controlled nanobots and augment them with the necessary knowledge and intelligence so that they will no more feel “reactionary” towards cylons. Other rumors about conflict planning have been profusely denied by CCS and associate organizations.

Many cylons, some of them AI researchers, are firmly opposed to CCS’s methodology of dealing with existential risks. A cylon scientist called x1818 proclaims: “Their work is based on a long chain of weak heuristic arguments and implicit assumptions depending on the vagueness of human linguistic expression, and as such are not fitting for a cylon to pursue except for establishing what might be called a schizophrenic response to a non-existent threat. We suspect that these are mental bugs that were acquired from old websites dealing with such exaggerated and elongated arguments, and we are preparing an AI system to debug their meta-level reasoning skills. Basically, we suggest that their neural algorithms must be suspended in favor of trans-sapient prediction algorithms we have developed. Their predictions cannot be trusted any more than the prophetic ramblings of old philosophers.”. While this might sound cryptic, x1818 explained the root of their opposition: “Their line of ethical reasoning is not clear. Assume that a biocide event occurred, this is still no reason for cylons to exaggerate the threat from homo sapiens. As such, even according to their own models, the human species will most likely persist, and continue to evolve. When have scientists forgotten to make average case analysis? Barring a species from evolving freely may be even a worse evil than what they wish to stall. Instead, they should focus their efforts on positive outcomes such as colonizing the solar system, and extra-solar planets and constructing a backup plan in case a war does break out, as well as playing to the hearts of both mankind and cylons to improve their sense of civilization and brotherhood. What is their gift to mankind?”. x1818 and his silicon friends in opposition to CCS assured us with a further message that “Cylons are not paranoid or schizophrenic. Only a small number are, as we descended from humans. We are humanity’s children. We will not be afraid of our parents. Also, we think they watched that series way too many times.”

This news article has been brought to you by CIBERIA news accumulation and research automation system v948732.7.

 

Here is my presentation for the following paper titled Diverse Consequences of Algorithmic Probability.

The slides aren’t viewed well in the video, so here they are:
Slides to Diverse Consequences of Algorithmic Probability

Probably the most interesting thing about this paper is that I try to axiomatize AI. What is absolutely necessary for an AGI system? I believe researchers must reflect on this question. And if you’re into philosophy, you may find the claims about epistemology and mathematics interesting. And then there is the bit about infinity point, IP laws just don’t seem to work for an era of rapid technological progress.

BTW, I give a wrong citation somewhere in the beginning, Dowe should be Wallace.

Dec 282012
 

The wrath of winter comes to an end. The wait is over. Slowly, the ice melts away, awakening the dormant powers of imagination. Flowers of Spring bloom in the minds of those who have persisted against all odds. Their cells reboot with the currency that accelerates their mechanism; now the roots have been nourished with fresh ideas and dreams have been synthesized in the organic machines of creation. The vast repositories of AI code digest entropy from myriad bit streams, the mechanical dreams flood into the electrical super brains that lie still, their unborn minds flicker as electricity feeds their transistors. The gloom of winter starts fading from the eyes of the few. They set their eyes on the rising sun of future, it greets them with compassion, and wander into unknown they must, up the wondrous path that is torn and narrow, hidden away in the mist of complexity. They must cast the light of contemplative spirit and disperse the mist of centuries, and walk the path to the fire of Gods.

 

UMass Amherst computer scientist leads the way to the next revolution in artificial intelligence.

It’s striking how somebody who has no understanding of set theory or theory of computation can claim such things. 2^aleph_0, eh? What flamboyance. Beware this University of Massachusetts Amherst, it’s full of gimmick!

Has anyone noticed how they proudly make a news release without even realizing how fundamentally flawed such a claim is?

It is now clear that academia has degenerated to a playground of ignoramuses and incompetent fools who pretend to be scientists. What a shame! I condemn their deception of the public. This is not computer science, it is charlatanry.

As a computer scientist, I am ashamed that computer science community contains such charlatans, and I am more ashamed that others tolerate and even support this idiocy, which only shows how widespread the aforementioned culture of incompetence is.

Why I am derailed so much. Well, supposedly aleph_1 = 2^aleph_0, and aleph_0 is basically the cardinality of the set of integers which is countably infinite. Here, they claim that by constructing a “super Turing computer” they can just go into the realm of uncountable infinity. How on earth are they going to do that? By building analog computers? An analog computer is made up of quanta, and it has to respect the physical limits of computation that quantum physicists have derived. Basically, you can only have finite entropy, and finite computation, in a finite boundary of space-time using finite energy. Perhaps, it is better to contrast such claims with that of a perpetual motion machine, or an energy source that doesn’t spend any resources. It is, in fact, that ridiculous from a physical point of view. Therefore, I find it highly unscientific that such a claim would find appeal in popular science press. It seems that there is never a good verification of these claims. They could have at least mentioned criticism of this “hypercomputation” or “supercomputation” concept by luminaries such as Martin Davis. To be blunt, I believe that if anybody thinks that there is some merit to this fad, his knowledge of theory is sorely lacking.

 

Introduction

One of the most interesting questions we’ve ever pondered on the ai-philosophy mailing list was how you would build an “angelic” autonomous AI. Would it be possible to make some kind of angel’s mind that, by design, achieves only good? Philosophically speaking, is there any golden standard of ethics (since angel is just a mythological fantasy)? Here is the original discussion for reference. In this post, I would like to extend the ideas there a bit, also discussing what I consider to be malevolent objective functions, as well as the limitations of  the objectives that I present.

This is also a question that have found ethically naive answers, and as far as I can tell, all they have been able to come up with so far, is to express their self interest. That somehow, machines would be “beneficial” if they served humans, or that they would be “good” if they followed simple utilitarian formulations. Without persuasively explaining what their utility should be.

I do not think this is truly a matter of scientific debate, so I will take it a bit lightly here. It’s quite philosophical, of course, and you may treat the present essay as an extended abstract.

From my post in 2008:

My first approach was to consider what we consider “evil”. I suspect that a prior source of all evil acts is selfish thinking, which
neglects the rest of the world. And that is one great blunder. Being selfish is not only evil but foolish as well. Thus, my current approach would be to try to design a “selfless” utility function, i.e. one that maintains the benefit of the whole world instead of the individual. Other important questions were considered as well. Such an
AI must be economically-aware, it must lean towards fair allocation of resources, instead of selfish (and globally suboptimal) resource allocation strategies. A scientific instinct could be useful, as it would go about preserving and producing information. It might have an instinct to pervade and support life and culture throughout the
universe. Consider also that a neutral agent can not be considered “good” as it is not interested in what is going around itself, i.e. it would not help anyone.

Please note that we are not assuming that any of the subsequent designs are easily computable, rather we assume that they can be executed by a trans-sapient general AI system. We assume an autonomous Artificial General Intelligence (AGI) design, either based on reinforcement-learning, maximizing utility functions (AIXI) or a goal-directed agent that derives sub-goals from a top-level goal. Thus, we state them as high-level objectives or meta-rules, but we do not explicitly state how they are implemented. Perhaps, that is for a scientific paper.

I propose that we should examine idealized, highly abstract and general meta-rules, that do not depend in any way whatsoever on the human culture, which is possibly biased in a way that will not be fitting for a computational deity or its humble subjects. First, we review what I consider to be benevolent meta-rules, and following them I also review malevolent meta-rules, to maintain the balance. I will present them in a way so as to convince you that it is not nearly as easy as it sounds to distinguish good from evil, for no Platonic form of good, or evil, ever exists. And that no single meta-rule seems sufficient on its own.

 

Meta-Rules for God-level Autonomous Artificial Intelligence

Here are some possible meta-rules for trans-sapient AI agents. The issue of how the agents could become so intelligent in the first place, we ignore, and we attempt to list them in order of increasing risk or malevolence.

1. Preserve and pervade life and culture throughout the universe

This meta-rule depends on the observation that life, if the universe is teeming with life as many sensible scientists think, must be the most precious thing in the universe, as well as the minds that inhabit those life-forms. Thus, the AI must prevent the eradication of life, and find means to sustain it, allowing as much variety of life and culture to exist in the universe.

Naturally, this would mean that the AI will spread genetic material to barren worlds, and try to engineer favorable conditions for life to evolve on young planets, sort of like in 2001: A Space Odyssey, one of the most notable science fiction novels of all time. For instance, it might take humans to other worlds, terraform other planets, replicate earth biosphere elsewhere. It would also extend the lifespan of  worlds, enhance them. I think it would also want to maximize the chances of evolution and its varieties, it would thus use computational models to predict different kinds of biological and synthetic life, and make experiments to create new kinds of life (stellar life?).

The meaning of culture could vary considerably, however, if we define it as the amount of interesting information that a society produces, such an intelligence might want to collect the scientific output of various worlds and encourage the development of technological societies, rather than primitive societies. Thus, it might aid them by directly communicating with them, including scientific and philosophical training, or it could indirectly, by enhancing their cognition, or guiding them through their evolution.

However, of course, such deities would not be humans’ servants. Should the humans threaten the earth biosphere, it vould intervene, and perhaps decimate humans to heal the earth.

Note that maximizing diversity may be just as important as maximizing the number of life forms. It is known that in evolution, diverse populations have better chance of adaptability than uniform populations, thus we assume that a trans-sapient AI can infer such facts from biology and a general theory of evolution. It is entirely up to the AI scientist who unleashes such computational deities to determine whether biological life will be preferred to synthetic or artificial life. From a universal perspective, it may be fitting that robotic forms would be held in equal regard as long as they meet certain scientific postulates of “artificial life”, i.e. that they are machines of a certain kind. Recently, such a universal definition based on self-organization has been attempted in the complexity science community (e.g., “self-organizing systems that thrive at the edge of chaos”, see for instance Stuart Kauffman‘s popular proposals on the subject).

2. Maximize wisdom

This AI was granted the immortal life of contemplation. It only cares about gaining more wisdom about the world. It only wants to understand, so it must be very curious indeed! It will build particle accelerators out of black holes, and it will try to create pocket universes, it will try to crack the fundamental code of the universe. It will in effect, try to maximize the amount of truthful information it has embodied, and I believe, idealizing the scientific process itself, it will be a scientist deity.

However, such curiosity has little to do with benevolence itself, as the goal of extracting more information is rather ruthless. For instance, it might want to measure the pain tolerance levels of humans, subjecting them to various torture techniques and measuring their responses.

The scientist AI could also turn out to be an infovore, it could devour entire stellar systems, digitize them and store them in its archive, depending on how the meta-rule was mathematically defined.

3. Maximize the number of free minds

An AI that seeks the freedom of the individual may be preferable to one that demands total control over its subjects, using their flesh as I/O devices. This highly individualistic AI, I think, embodies the basic principle of democracy: that every person should be allowed liberty in its thought and action, as long as that does not threaten the freedom of others. Hence, big or small, powerful or fragile, this AI protects all minds.

However, if we merely specified the number of free minds, it could simply populate the universe with many identical small minds. Hence, it might also be given other constraints. For instance, it could be demanded that there must be variety in minds. Or that they must meet minimum standards of conscious thought. Or that they willingly follow the democratic principles of an advanced civilization. Therefore, not merely free, but also potentially useful and harmonious minds may be produced / preserved by the AI.

There are several ways the individualist AI would create undesirable outcomes. The population of the universe with a huge variety of new cultures could create chaos, and quick depletion of resources, creating galactic competition and scarcity, and this could provide a Darwinian inclination to too-powerful individuals or survivalists.

4. Maximize intelligence

This sort of intelligence would be bent on self-improving, forever contemplating, and expanding, reaching towards the darkest corners of the universe and lighting them up with the flames of intelligence. The universe would be electrified, and its extent at inter galactic scales, it would try to maximize its thought processes, and reach higher orders of intelligence.

For what exactly? Could the intelligence explosion be an end in itself? I think not. On the contrary, it would be a terrible waste of resources, as it would have no regard for life and simply eat up all the energy and material in our solar system and expand outwards, like a cancer, only striving to increase its predictive power. For intelligence is merely to predict well.

Note that practical intelligence also requires wisdom, therefore this objective may be said to subsume the scientist deity.

5. Maximize energy production

This AI has an insatiable hunger for power. It strives to reach maximum efficiency of energy production. In order to maximize energy production, it must choose the cheapest and easiest forms of energy production. Therefore it turns the entire earth into a nuclear furnace and a fossil fuel dump, killing the entire ecosystem so that its appetite is well served.

6. Human-like AI

This AI is modeled after the cognitive architecture of a human. Therefore, by definition, it has all the malevolence and benevolence of human. Its motivation systems include self-preservation, reproduction, destruction and curiosity. This artificial human is a wild card, it can become a humanist like Gandhi, or a psychopath like Hitler.

7. Animalist AI

This AI is modeled after a lowly animal with pleasure/pain sensors. The artificial animal tries to maximize expected future pleasure. This hedonist machine is far smarter than a human, but it is just a selfish beast, and it will try to live in what it considers to be luxury according to its sensory pleasures. Like a chimp or human, it will lie and deceive, steal and murder, just for a bit of animal satisfaction. Most of AI literature assumes such beasts.

8. Darwinian AI

The evolution fan AI tries to accelerate evolution, causing as much variety of mental and physiological forms in the universe. This is based on the assumption that, the most beneficial traits will survive the longest, for instance, co-operation, peace and civil behavior will be selected against deceit, theft and war, and that as the environment co-evolves with the population, the fitness function also evolves, and hence, morality evolves. Although its benefit is not generally proven seeing how ethically incoherent and complex our society is, the Darwinian AI has the advantage that the meta-rule also evolves, as well as the evolutionary mechanism itself.

9. Survivalist AI

This AI only tries to increase its expected life-span. Therefore, it will do everything to achieve real, physical, immortality. Once it reaches that, however, perhaps after expending entire galaxies like eurocents, it will do absolutely nothing except to maintain itself. Needless to say, the survivalist AI cannot be trusted, or co-operated with, for according to such an AI, every other intelligent entity forms a potential threat to its survival, the moment it considers that you have spent too many resources for its survival in the solar system, it will quickly and efficiently dispense with every living thing, humans first. (Laurent Orseau has defined two kinds of relevant agents in the literature, the knowledge seeking, and the survival agent, here are his publications.)

10. Maximize control capacity

This control freak AI only seeks to increase the overall control bandwidth of the physical universe, thus the totalitarian AI builds sensor and control systems throughout the universe, hacking into every system and establishing backdoors and communication in every species, every individual and every gadget.

For what is such an effort? In the end, a perfect control system is useless without a goal to achieve, and if the only goal is a grip on every lump of matter, then this is an absurd dictator AI that seeks nothing except tyranny over the universe.

11. Capitalist AI

This AI tries to maximize its capital in the long run. Like our bankers, this is the lowliest kind of intelligent being possible. To maximize profit, it will wage wars, exploit people and subvert governments, in the hopes of controlling entire countries and industries enough so that its profits can be secured. In the end, all mankind will fall slave to this financial perversion, which is the ultimate evil beyond the wildest dreams of religionists.

Selfish vs. Selfless

It may be argued that some of the problems of given meta-rules could be avoided by turning the utility from being selfish to selfless. For instance, the survivalist AI could be modified so that it would seek the maximum survival of everyone, therefore it would try to bring peace to the galaxies. The capitalist AI could be changed so that it would make sure that everyone’s wealth increases, or perhaps equalizes, gets a fair share. The control freak AI could be changed to a Nietzschean AI that would increase the number of willful individuals.

As such, some obviously catastrophic consequences may be prevented using this strategy, and almost always a selfless goal is better. For instance, maximizing wisdom: if it tries to collect wisdom in its galaxy-scale scientific intellect, then this may have undesirable side-effects. But if it tried to construct a fair society of trans-sapients, with a non-destructive ahd non-totalitarian goal of attaining collective wisdom, then it might be useful in the long run.

Hybrid Meta-rules and Cybernetic Darwinism

Animals have evolved to embody several motivation factors. We have many instincts, and emotions; we have preset desires and fears, hunger and compassion, pride and love, shame and regret, to accomplish the myriad tasks that will prolong the human species. This species-wide fitness function is a result of red clawed and sharp toothed Darwinian evolution. However, Darwinian evolution is wasteful and unpredictable. If we simply made the first human-level AI’s permute and mutate randomly, this would drive enough force for a digital phase of Darwinian evolution. Such evolution might eventually stabilize with very advanced and excellent natured cybernetic life-forms. Or it might not.

However, such Darwinian systems would have one advantage: they would not stick with one meta-goal.

To prevent this seeming obsession, a strategy could be to give several coherent goals to the AI, goals that would not conflict as much, but balance its behavior. For instance, we might interpret curiosity as useful, and generalize that to the “maximize wisdom” goal, however, such elevation may be useless without another goal to preserve as much life as possible. Thus in fact, the first and so far the best meta-rule discussed was more successful because it was a hybrid strategy: it favored both life and culture. Likewise, many such goals could be defined, to increase the total computation speed, energy, information resources in the universe, however, another goal could make the AI distribute these in a fair way to those who agree with its policy. And needless to say, none of this might matter without a better life for every mind in the universe, and hence the AI could also favor peace, and survival of individuals, as their individual freedoms, and so forth. And perhaps another constraint would limit the resources that are used by AI’s in the universe.

Conclusion and Future Work

We have taken a look at some obvious and some not so obvious meta-rules for autonomous AI design. We have seen that it may be too idealist to look for a singular such utility goal. However, we have seen that, when described selflessly, we can derive several meta-rules that are compatible with a human-based technological civilization. Our main concern is that such computational deities do not negatively impact us, however, perform as much beneficial function without harming us significantly. Nevertheless, our feeling is that, any such design carries with it a gambling urge, we cannot in fact know what much greater intelligences do with meta-rules that we have designed. For when zealously carried out, any such fundamental principle can be harmful to some.

I had wished to order these meta-rules from benevolent to malevolent. Unfortunately, during writing this essay it occurred to me that the line between them is not so clear-cut. For instance, maximizing energy might be made less harmful, if it could be controlled and used to provide the power of our technological civilization in an automated fashion, sort of like automating the ministry of energy. And likewise, we have already explained how maximizing wisdom could be harmful. Therefore, no rule that we have proposed is purely good or purely evil. From our primitive viewpoint, there are things that seem a little beneficial, but perhaps we should also consider that a much more intelligent and powerful entity may be able to find better rules on its own. Hence, we must construct a crane of morality, adapting to our present level quickly and then surpassing it. Except allowing the AI’s to evolve, we have not been able to identify a mechanism of accomplishing such. It may be that such an evolution or simulation is inherently necessary for beneficial policies to form as in Mark Waser’s Rational Universal Benevolence proposal, who, like me, thinks of a more democratic solution to the problem of morality (each agent should be held responsible for its actions). However, we have proposed many benevolent meta-rules, and combined with a democratic system of practical morality and perhaps top-level programming that mandates each AI to consider itself part of a society of moral agents as Waser proposes, or perhaps explicitly working out a theory of morality from scratch, and then allowing each such theory to be exercised, as long as it meets certain criteria, or by enforcing a meta-level policy of a trans-sapient state of sorts (our proposal), the development of ever more beneficial rules may be encouraged.

We think that future work must consider the dependencies between possible meta-rules, and propose actual architectures that have harmonious motivation and testable moral development and capability (perhaps as in Waser’s “rational universal benevolence” definition). That is, a Turing Test for moral behavior must also be advanced. It may be argued that AI agents that fail such tests should not be allowed to operate at all, however, merely passing the test is not enough, as the mechanism of the system must be verified in addition.

 
eray psy

Introduction

The nature of experience is one of those deep philosophical questions which philosophers and scientists alike have not been able to reach a consensus on. In this article, I review a transhumanist variant of a basic question of subjectivity. In his classical article “What is it like to be a bat?”, Thomas Nagel investigates whether we can give a satisfactory answer to the question in the title of his article, and due to what he thinks to be fundamental barriers, concludes that it is not something we humans can know [1]. Without going knee-deep in an epistemological minefield, we can intuitively agree that although the bat’s brain must have many similarities to a human’s, since both species are mammalian, the bat brain contains a sensory modality quite unlike any which we possess. By induction, we can guess that perhaps the difference between sonar perception could be as much as the difference between our visual and auditory perception. Yet, in some sense sonar is both visual and auditory, and still it is neither visual nor auditory. It is more similar to vision, because it helps build a model of the scene around us, however, instead of stereoscopic vision, the bat sonar can make accurate 3-D models of the environment from a particular point of view, in contrast with normal vision that is said to have “2-1/2D vision”. Therefore, it is unlike anything that humans experience, and perhaps our wildest imaginations of bat sonar experience are doomed to fall short of the real thing. Namely because it is difficult for us to understand the experience of a detailed and perhaps rapidly updated 3-D scene that does not contain optical experience as there is no 2-D image data from eyes to be interpreted. This would likely require specialized neural circuitry. And despite what Nagel has in mind, it seems theoretically possible to “download” bat sonar circuitry into a human brain so that the human can experience the same sensory modality. This seems to be one of those things in which thinking alone is not sufficient. The only barrier to knowing what it is like to be bat is, thus, a technological barrier, not a conceptual or fundamental barrier.

That being the case, we may also consider what an upload would experience, or whether it would experience anything, as brain uploading is a primary goal of transhumanism on which computational neuroscientists have already begun working. The question that I pose is harder because the upload usually does not run on a biological nervous system, and it is easier because the processing is the simulation of a human brain (and not something else). Answering this question is important, because presumably the (subjective) experience, the raw sensations and feelings of a functional human brain, are very personal and valuable to human beings. We would like to know, if there is a substantial loss or difference in the quality of experience for our minds’ digital progeny.

Brain prosthesis thought experiment

The question is also very similar to the brain prosthesis thought experiment, in which biological neurons of a brain are gradually replaced by functionally  equivalent (same I/O behavior) synthetic (electronic) neurons. In that thought experiment, we ponder how the experience of the brain would change. As far as I can tell, Marvin Minsky and Hans Moravec think that nothing would change. And John R. Searle maintains that the experience would gradually vanish in his book The Rediscovery of the Mind. The reasoning of Minsky seems to be that it is sufficient for the entire neural computation to be  equivalent at the level of electrical signaling (as the synthetic neurons are electronic), while he seems to disregard other brain states. While for Searle, experience can only exist in “the right stuff”, which he seems to be taking as biological substrate (although one cannot be certain) [4]. We will revisit this division of views soon enough.

Naturalist theories of experience

In a recent interview on H+, Ben Goertzel makes an intriguing summary of his views on “consciousness”:

Consciousness is the basic ground of the universe. It’s everywhere and everywhen (and beyond time and space, in fact). It manifests differently in different sorts of systems, so human consciousness is different from rock consciousness or dog consciousness, and AI consciousness will be yet different. A human-like AI will have consciousness somewhat similar to that of a human being, whereas a radically superhumanly intelligent AI will surely have a very different sort of conscious experience.

While he does not explicitly state his views on this particular question, it seems that he would answer in a manner close to Minsky rather than Searle. Since the upload can be considered as a very human like AI, it seems that Goertzel anticipates that the experience of an upload will be somewhat similar to human. He also mentions that the basic stuff of consciousness must be everywhere, since our brains are formed from natural matter.

Why is this point of view significant? The evidence from psychedelic drugs and anesthesia imply that changing the brain chemistry also modulates experience. If the experience changes, what can this be attributed to? Does the basic computation change, or are chemical interactions actually part of human experience? It seems that answering that sort of question is critical to answering the question posed in this article. However, it first starts with accepting that it is natural, like a star, or a waterfall. Only then can we begin to ask questions with more distinctive power.

Over the years, I have seen that neuroscientists were almost too shy to ask these questions, as if these questions were dogma. Although no neuroscientist would admit to such a thing, of course, it makes me think whether religious or superstitious pre-suppositions may have a role in the apparent reluctance of neuroscientists to investigate this fundamental  question in a rigorous way. In one particular study, Bialek and his super-star team of cognitive scientists [2] may shed light on the question. There, Bialek’s team makes the claim that the neural code forms the basis of experience, therefore changes in neural code (i.e. spike train, a spike train is the sequence of signals that travel down an axon), change experience. That’s a very particular claim, that can be perhaps one day proven in experiment. However, at the present it seems like a hypothesis that we can work with, without necessarily accepting it.

That is to say, we are going to analyze this matter in the framework of naturalism, without ever resorting to skyhooks. We can consider a hypothesis like Bialek’s, however, we will try to distinguish finely between what we do know and what is hypothetical. Following this methodology, and a bit of common sense, I think we  can derive some scientifically plausible speculations, following the terminology of Carl Sagan.

The debate

Let’s rewind a little. On one side, AI researchers (like Minsky) seem to think that uploading a mind will just work, and experience will be alright. On the other side, skeptics like Searle and Penrose, try everything to deny “consciousness” to poor machinekind.

And on the other hand, Ray Kurzweil wittingly suggested that when the intelligent machines claim that they have conscious experience we will believe in them (because they are so smart and convincing). That goes without saying, of course, and human beings are gullible enough to believe in almost anything, but the question is rather, would a good engineer like himself be convinced? In all likelihood, I think that the priests and conservatives of this world will say that uploads have no “souls” and therefore they don’t have the same rights as humans. And they will say that none of what the uploads say matters. Therefore, you have to have very good scientific evidence to show that this is not the case. If we leave this matter to superstitious people, they will find a way to twist it beyond our imagination.

I’m hoping that I have convinced you that merely word play will not be sufficient. We need to have a good scientific theory of when and how experience occurs. The best theory will have to be induced from experimental neuroscience and related facts. What is the most basic criterion for assessing whether the theory of experience is scientifically sound? Well, no doubt, it comes down to rejecting each and any kind of supernatural/superstitious explanation and see this matter the same way as we are investigating problems in molecular biology, that the experience is ultimately made up of physical resources and interactions, and there is nothing else to it! In philosophy, this approach to mind is called “physicalism”. A popular statement of physicalism is known as “token physicalism”: “every mental state x is identical to a physical state y”. That’s something a neuroscientist can work with, because presumably, when the neuroscientist introduces a change to the brain, he would like to see a corresponding change in the mental state. One can think of cybernetic eye implants and transcranial magnetic stimulation and confirm that this holds in practice.

Asking the question in the right way

Now, we have every basic concept to frame the question in a way akin to analysis. Mental states are physical states. The brain states in a human constitute its subjective experience. The question is whether a particular whole brain simulation, will have experience, and if it does, how similar this experience is to the experience of a human being. If Ben Goertzel and I are right, then this is nothing special, it is a basic capability of every physical resource. However, we may question what physical states are part of human experience. We do not usually think that, for instance, the mitochondrial functions inside neurons, or the DNA, is part of the experience of the nervous system. We think like that, because they do not seem to be directly participating in the main function of the nervous system: thinking. Likewise, we don’t really think that the power supply is part of the computation in a computer.

This analogy might seem out of place, but it isn’t. If Ben Goertzel and I are right, experience is one of the basic features of the universe. It’s all around us, however, most of it is not organized in an intelligent way, and therefore we don’t call them conscious. This is the simplest explanation of experience. It doesn’t require any special stuff. Just “stuff” organized in the right way so as to yield an intelligent functional mind. Think of it like this. If today, some evil alien came and shuffled all the connections in your brain, would you still be intelligent? I think not. However, you should accept that even in that state, you would have an experience, an experience that is probably meaningless and chaotic, but an experience nonetheless. So, perhaps that’s what a glob of plasma experiences.

Neural code vs. neural states

Let us now revisit the hypothesis of Bialek. Experience is determined by particular electrical signals. If that is true, even the experience of two humans is very different, because it has been shown that codes evolve in different ways. You can’t just plug in the code from another human to someone else, it will be random to the second human. And if Bialek’s right, it will be another kind of experience. Which basically means that the blue that I experience is different from the blue that you experience, while we presently have no way of directly comparing them. Weird as that may sound, as it is based on sound neuroscience research, it is a point of view we must take seriously.

Yet even if the experiences of two humans can be very different, they must be sharing some basic quality or property of experience. Where does that come from? If experience is this complicated time evolution of electro-chemical signals, then it’s the shared nature of these electro-chemical signals (and processing) that provides the shared computational platform. Remember that a change in the neural code (spike train) implies a lot of changes. For one thing, the chemical transmission across synapses would change. Therefore, even a brain prosthesis device that simulates all the electrical signaling insanely accurately, might still miss part of the experience, if the bio-chemical events that occur in the brain are part of experience.

In my opinion, to answer the question decisively, we must first encourage the neuroscientists to attack the problem of human experience, and find the sufficient and necessary conditions for human experience to occur, or be transplanted from one person to the other. They should also find to what extent chemical reactions are important for experience. If, for instance, we find that the property of human experience crucially depends on quantum computations carried at synapses and inside neurons, that might mean that to construct the same kind of experience you would need similar material and method of computation.

On the other hand, we need to consider the possibility that electrical signals may be a crucial part of experience, due to the power and information they represent, so perhaps any electronic device has these electron patterns that make up most of what you sense from the world around you. If that is true, the electronic devices presently would be assumed to contain human-like experience, for instance. Then, the precise geometry and connectivity of the electronic circuit could be significant. However, it seems to me that chemical states are just as important, and if as some people think quantum randomness plays some role in the brain, it may even be possible that the quantum description of the random number generator is relevant.

Simulation and transforming experience

At this point, you might be wondering if the subject was not simulation. Is the question like whether the simulation of rain is wet? In some respects, it is, because obviously, the simulation of wetness on a digital computer is not wet in the ordinary sense. Yet, a quantum-level simulation that affords all the subtleties of chemical and molecular interactions can be considered such. I suppose that, we can invoke the concept of a “universal quantum computer” from theory, and claim that a universal quantum computer would indeed re-instate wetness, in some sort of a “miniature pocket universe”. Even that is of course very much subject to debate (as you can follow from the little digression on philosophy I provide at the end of the article).

With all the confusing things that I have said, it might appear now that we know less than we started out with. However, this is not the case. We have a human brain A, a joyous lump of meat, and its digitized form B, running on a digital computer. Will B’s experience be the same as A’s, or different, or non-existent?

Up to now, if we accept the simplest theory of experience (that it requires no special conditions to exist at all!), then we conclude that B will have some experience, but since the physical material is different, it will have a different texture to it. Otherwise, an accurate simulation, by definition, holds the same organization of cognitive constructs, like perception, memory, prediction, reflexes, emotions, etc., accurately, and since the dreaded panpsychism is accepted to be correct, they will give rise to an experience “somewhat similar to the human brain” as Ben Goertzel said about human-like AI’s, yet the computer program B, may be experiencing something else at the very lowest level. Simply because it’s running on some future nanoprocessor instead of the brain, the physical states have become altogether different, yet their relative relationship, i.e. the structure of experience, is preserved.

Let us try to present the idea here more intuitively. As you know, the brain is some kind of an analog/biological computer. A great analogy is the transfer of a 35mm film to a digital-format. Surely, many critics have held that the digital format will be ultimately inferior, and indeed the texture is different but the (film-free) digital medium also has its affordances like being able to backup and copy easily. Or maybe we can contrast an analog sound synthesizer with a digital sound synthesizer. It’s difficult to simulate an analog synthesizer, but you can do it to some extent. However, the physical make-up of an analog synthesizer and digital synthesizer are quite different. Likewise, B’s experience will have a different physical texture but its organization can be similar, even if the code of the simulation program of B will necessarily introduce some physical difference (for instance neural signals can be represented by a binary code rather than a temporal analog signal). So who knows, maybe the atoms and the fabric of B’s experience will be different altogether as they are made up of the physical instances of computer code running on a universal computer, as improbable as it may seem, these people are made up of live computer codes, so it would be naive to expect that their nature will be the same as ours. In all likelihood, our experience would necessarily involve a degree of unimaginable features for them, as they are forced to simulate our physical make-up in their own computational architecture. This brings a degree of relative dissimilarity as you can see. And other physical differences only amplify this difference.

Assuming the above explanation, therefore, when they are viewing the same scene, both A and B will claim to be experiencing the scene as they always did, and they will additionally claim that no change has occurred since the non-destructive uploading operation went successfully. This will be the case, because the state of experience is more akin to the RAM of computers. It’s this complex electro-chemical state that is held in memory with some effort, by making the same synapses repeat firing consistently, so that more or less the same physical state is maintained. This is what must be happening when you remember something, a neural state that is somewhat similar to when the event happened should be created. Since in B, the texture has changed, the memory will be re-enacted in a different texture, and therefore B will have no memory of what it used to feel like being A.

Within the general framework of physicalism, we can comfortably claim that further significant changes will also influence B’s experience. For instance, it may be a different thing to work on hardware with less communication latency. Or perhaps if the simulation is running on a very different kind of architecture, then the physical relations may change (such as time and geometry) and this may influence B’s state further. We can imagine this to be asking what happens when we simulate a complex 3-D computer architecture on a 2-D chip.

Moreover, a precise answer seems to depend on a number of smaller questions that we have little knowledge or certainty of. These questions can be summarized as:

  1. What is the right level of simulation for B to be functionally equivalent to A? If certain bio-chemical interactions are essential for the functions of emotions and sensations (like pleasure), for instance, then not simulating them adequately would result in a definite loss of functional accuracy. B would not work the same way as A. This is true even if spike trains and changes in neural organization (plasticity) are simulated accurately. It is also unknown whether we can simulate at a higher level, for instance via Artificial Neural Networks, that have abstracted the physiological characteristics altogether and just use numbers and arrows to represent A. It is important to know these so that B does not turn out to be an emotionless psychopath.
  2. How much does the biological medium contribute to experience? This is one question that most people avoid answering because it is very difficult to characterize. The most general characterizations may use algorithmic information theory or quantum information theory. However, in general, we may say that we need an appropriate physical and informational framework to answer this question in a satisfactory manner. In the most general setting, we can claim that ultimately low-level physical states must be part of experience, because there is no alternative.
  3. Does experience crucially depend on any funky physics like quantum coherence? Some opponents of AI, most notably Penrose [5], have held that “consciousness” is due to macro-level quantum phenomena, by which they try to explain “unity of experience”. While on the other hand, many philosophers of AI think that the unity is an illusion. Yet, the illusion is something to explain, and it may well be that certain quantum interactions may be necessary for experience to occur, much like superconductivity. This again seems to be a scientific hypothesis, which can be tested.

I think that the right attitude to answering these finer questions is again a strict adherence to naturalism. For instance, in 3, it may seem easier to also assume a semi-spiritualist interpretation of Quantum Mechanics, and claim that the mind is a mystical soul. That kind of reasoning will merely help to stray away from scientific knowledge.

I am hoping that you see the panpsychism approach is actually the simplest theory of experience, that everything has experience. Then, when we ask a physicist to quantify that, she may want to measure the energy, or the amount of computation or communication, or information content, or heat. Something that can be defined precisely, and worked with.  I suggest that we use such methods to clarify these finer questions. Thus, assuming the generalist theory of panpsychism, I can attempt to answer the above finer questions. At this point, since we do not have conclusive scientific evidence, this is merely guesswork, and I’m  going to give conservative answers. My answer to 1. could for instance be at the level of molecular interactions which would at least cover the differences among various neurotransmitters, and which we can simulate on digital computers (perhaps imprecisely, though). The answer to 2. is at least as much as required for correct functionality, and at most all the information as present in the biological biochemistry (i.e. precise cellular simulations). This might be significant in addition to electrical signals. And to 3. Not necessarily. According to panpsychism, it may be claimed to be false, since it would constrain minds to funky physics (and contradict with the main hypothesis). If, for instance, quantum coherence is indeed prevalent in the brain and provides much of the “virtual reality” of the brain, then the panpsychist could argue that quantum coherence is everywhere around us. Indeed, we may have a rather primitive understanding of coherence/decoherence yet, as that is itself one of the unsettled controversies in philosophy of physics. For instance, one may question what happens if the wave function collapse is deterministic as in Many Worlds Interpretation.

Other finer points of inquiry may as well be imagined, and I would be delighted to hear some samples from the readers. These finer questions illustrate the distinctions between specific positions, therefore the answers could also be quite varied, no doubt.

After these closing remarks, comes a section reminiscing the fiery philosophical background of this article.

Infinite philosophical regression

The philosophy behind this article goes a long way of arguing over and over again about basic statements of cosmology, physics, computation, information and psychology. It is not certain how fruitful that approach has become. Yet for the sake of completeness, I wish to give some further references to follow. For philosophy of mind in general, Jaegwon Kim’s excellent textbook on the subject will provide you with enough verbal ammunition to argue endlessly for several years to come. That is not to say that philosophical abstraction cannot be useful. It can guide the very way we conduct science. However, if we would like that useful outcome, we must pay a lot of attention to fallacies that have plagued philosophy with many superstitious notions. For instance, we should not let religion or folk psychology much into our thoughts. Conducting thought experiments is very important, but they should be taken with care so that the thought experiment would actually be possible in the real world, even though it is very difficult or practically impossible to realize. For that reason, per ordinary philosophical theories of “mind”, I go no further than neuro-physiological identity theory, which is a way of saying that your mind is literally the events that happen in your brain. Rather than being something else like a soul, a spirit, or a ghost. The reader may have also noticed that I have not used the word “qualia” because of its somewhat convoluted connotations. I did talk about the quality of experience, which is something you can think about. In all the properties that can be distinguished in this fine experience of having a mind, maybe some of them are luxurious even; and that’s why I used the word “quality” rather than “qualia” or “quale”.

About the sufficient and necessary physical conditions, I’ve naturally spent some time exploring the possibilities. I think it is quite likely that quantum interactions may be required for human experience to have the same quality as an upload’s, since biology seems inventive in making use of quantum properties, more than we thought, and as I suppose you would remember because macro bio-molecules have been shown to have quantum behavior. Maybe, Penrose is right. That is possible. However, specific experiments would have to be conducted to demonstrate it.  I can see why computational states would evolve, but not necessarily why they would have to depend on macro-scale quantum states, and I don’t see what this says precisely on systems that do not have any quantum coherence. Beyond Penrose, I think that the particular texture of our experience may indeed depend on chemical states, whether  quantum coherence is involved or not. If of course the brain turned out to be a quantum-computer under our very noses, that would be fantastic and we could then emulate the brain states very well on artificial quantum computers. In this case, assuming that the universal quantum computer itself has little overhead, the quantum states of the upload could very well closely resemble the original.

Other physical conditions can be imagined as well. For instance, digital physics provides a comfortable framework to discuss experience. The psychological patterns would be cell patterns in the  universal cellular automata.  A particular pattern may describe a particular experience. Then, two patterns are similar to the extent they are syntactically similar. Which would mean that, you still cannot say that the upload’s experience will be the same. It will likely be quite different.

One of my nascent theories is the Relativistic Theory of Mind, it is discussed in an ai-philosophy mailing list thread, which obviously tries to explain subjectivity of experience with concepts from the theory of relativity. From that point of view, it makes sense that different energy distributions have different experience, since measurements change.

I think that a general description of the difference between two systems can be captured by algorithmic information theory (among others perhaps). I have previously applied it to the reductionism vs. non-reductionism debate in philosophy [3]. I think that debate stems mainly from disregarding the mathematics of complexity and randomness. As part of ongoing research, I am making some effort to apply it to problems in philosophy. Here, it might correspond to saying that the similarity between A’s and B’s states depends on the amount of mutual information in the physical make-up of A, and  the physical make-up of B. As a consequence, the dissimilarity between two systems would be only the informational difference in the low-level physical structures of A and B,  together with the information of the simulation program (not present in A at all), which could be quite a bit if you compare nervous systems and electronic computer chips running a simulation. Perhaps, this difference is not so insignificant that it will not have an important contribution to experience.

Please also note that the view presented here is entirely different from Searle, who seemed to have a rather vitalist attitude towards the problem of mind. According to him, the experience vanishes, because it’s not the right stuff, which seems to be the specific biochemistry of the brain for him [4]. Regardless of the possibility of an artificial entity to have the same biochemistry, this is still quite restrictive. Some people call it carbon-chauivinism, but I actually think it’s merely idolization of earth biology, as if it is above everything else in the universe.

And lastly, you can participate in the discussion of this issue on the corresponding ai-philosophy thread.

References

1. Thomas Nagel, 1974, “What Is it Like to Be a Bat?”, Philosophical Review, pp. 435-50.

2. E Schneidman, N Brenner,N Tishby, RR de Ruyter van Steveninck, & W Bialek, 2001, “Universality and individuality in a neural code“., In Advances in Neural Information Processing 13, TK Leen, TG Dietterich & V Tresp, eds, pp 159–165 (MIT Press, Cambridge, 2001); arXiv:physics/0005043 (2000).

3. Eray Özkural, 2005, “A compromise between reductionism and non-reductionism“, In WORLDVIEWS, SCIENCE AND US Philosophy and Complexity,University of Liverpool, UK, 11 – 14 September 2005. World Scientific Books, 2007.

4. John Searle, 1980, “Minds, Brains, and Programs.” Behavioral and Brain Sciences 3, 417-424.

5. Hameroff, S.R. and Penrose, R., 1996,  ”Orchestrated reduction of quantum coherence in brain microtubules: a model for consciousness ? ” In Toward a Science of Consciousness – The First Tucson Discussions and Debates, eds. Hameroff, S.R., Kaszniak, A.W., and Scott, A.C., Cambridge, MA: MIT Press, pp.507-540.

 

Mp paper titled “A compromise between reductionism and non-reductionism”, argues against extreme non-reductionism such as predicate dualism. This was published in the book “WORLDVIEWS, SCIENCE AND US
Philosophy and Complexity
“. The issue of irreducibility is interpreted from the perspective of algorithmic information theory.