no-one can create ai
Penrose (The Emperor''s New Mind) suggests that the electrobiochemical reactions in the brain my be somewhat quantum or quantum-based in nature and as such operate under a calculated uncertainty, and also that this is one of the reasons that traditional silicion-electrical computers cannot achieve the sort of effects humans can...
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Hi.
IMHO, the first step to "learning AI", is to make it generate code on the fly, meaning that for each new thing discovered, it should create some new actions, and thus, some new code. Hard-coding AI is a terrible mistake, once again, IMHO.
IMHO, the first step to "learning AI", is to make it generate code on the fly, meaning that for each new thing discovered, it should create some new actions, and thus, some new code. Hard-coding AI is a terrible mistake, once again, IMHO.
Promit: there are many reasons why a specific computer or simulation cannot be made intelligent, but obviously they act on the quantum level the same as electrobiochemical brains (in the sense that quantum mechanics is the basis of all physics). To say this gives them some functionality that it is immpossible to simulate (you could simulate quantum effects in a computer) and that this is the "special thing" that prevents intelligence being man made detracts from the actual problems in artificial intelligence. Those being that symbol manipulating systems cannot understand, too few experiments involve embodiement and situatedness, that people hugely underestimate the complexity of the dynamical interactions that occur in 3 trillion neurons (I think that''s the count), that all intelligence emerges from the interactions between agents and their environments and that the problem space of "being human" (which is what most people define as being the goal of AI) arguably necessitates sensors, effectors and methods near idential to those we, as humans, have.
All IMHO of course, although I think I''ve argued all these points here before
Cyril: How do you make a simulated AI learn new actions outside the scope of its current programmed interactions with its simulation. The new actions humans have learnt have been of the extended phenotypic kind, i.e. tool use. By programming a simulation, you almost always program its limitations in first, then expect far too much of it.
Mike
All IMHO of course, although I think I''ve argued all these points here before
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Cyril: How do you make a simulated AI learn new actions outside the scope of its current programmed interactions with its simulation. The new actions humans have learnt have been of the extended phenotypic kind, i.e. tool use. By programming a simulation, you almost always program its limitations in first, then expect far too much of it.
Mike
I don''t agree with considering the use of a tool as learning a new action. The basic actions that the humans can perform are JUST and ONLY move the muscles of the body. And not more, you cannot perform any other action, nor learn any more action during your life. You just learn new combinations of actions, and that''s something that a computer program can perfectly do.
Popolon: I think your definition of the term action is completely different to most other people here. Action without environment is as meaningless as behaviour without environment.
"The question of whether computers can think is like the question of whether submarines can swim." - Dijkstra
Not many people believe Penrose on that point... particularly not neurologists. Indeed, TENM is a pretty poor book when compared with other works on the subject. There is no substantive evidence to support the claim that quantum effects play a significant role in determining the outcome of electro-chemical processes in the brain, which are the basis of information transfer. Indeed, the human olfactory system - which has been completely deciphered in terms of how it processes sensory information, requires no quantum effects to determine inference outcomes. It is unlikely then that other sensory systems require such effects. As to whether higher cognitive functions do, I doubt it. If the foundations of the brain don''t rely on quantum effects, then it is unlikely that emergent activity built from these foundations exhibits quantum fluctuations.
Furthermore, we don''t think with single neuronal loops, but with aggregates of hundreds and even thousands of loops performing the same oscillation with a little variation on phase and amplitude. On these scales, quantum effects would be washed out and all we would see are averaged effects, which are trivially modelled mathematically and hence easily placed in the context of a computer simulation.
Indeed, the Dynamic Bayesian Network is an AI tool for modelling sequential decision processes in dynamic environments. The mathematical function underlying the DBN model is a more general, complex version of Schrodinger''s equation, which describes the evolution of quantum wave functions. In other words, Schrodinger''s equation is just a special (simpler) case of a DBN without observations!
Cheers,
Timkin
Furthermore, we don''t think with single neuronal loops, but with aggregates of hundreds and even thousands of loops performing the same oscillation with a little variation on phase and amplitude. On these scales, quantum effects would be washed out and all we would see are averaged effects, which are trivially modelled mathematically and hence easily placed in the context of a computer simulation.
Indeed, the Dynamic Bayesian Network is an AI tool for modelling sequential decision processes in dynamic environments. The mathematical function underlying the DBN model is a more general, complex version of Schrodinger''s equation, which describes the evolution of quantum wave functions. In other words, Schrodinger''s equation is just a special (simpler) case of a DBN without observations!
Cheers,
Timkin
quote:
Original post by MikeD
that people hugely underestimate the complexity of the dynamical interactions that occur in 3 trillion neurons (I think that''s the count),
100 Billion neurons in the average brain. [Kendell, Schwartz and Jessel, Principles of NeuroScience].
As to the underestimation of complexity, I think that''s fairly true of many AI researchers who don''t study neurology, however there are quite a few research groups studying simulated neuronal systems (and I don''t mean your standard ANN), their complexity, dynamics and performance.
Cheers,
Timkin
quote:
Original post by Timkin
100 Billion neurons in the average brain. [Kendell, Schwartz and Jessel, Principles of NeuroScience].
Timkin
A power of ten out again and I even own that book
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My Masters dissertation was on spiking neural networks and spiketime dependent plasticity but that''s about as close to a biological neuron as I''ve ever got.
Out of interest Timkin, do you, off hand, know how much biology I would need to know to take a taught Masters in Neurobiology? My entire background is in computing from degree level upwards and I haven''t studied biology since I was 16. It''s just something I''ve wanted to do (I''m tempted by the life style of Make computer game > Take Masters > Make computer game > Take Masters etc.
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Mike
quote:
The basic actions that the humans can perform are JUST and ONLY move the muscles of the body. And not more, you cannot perform any other action, nor learn any more action during your life.
This is a widespread understanding and also what I learned in the class "Brain Physics"
However, I disagree: it is possible to change non-muscular parametres of my body in a indirect way. If sit and think about concentration camps, rape, childabuse etc. etc. eventually my body temperature will rise and I will start sweating etc. Very small details, but in principal it shows that the brains controls more than *just* muscular activities. In the same way I can affect my environment in other ways, without using muscels.
When it comes to the good old real-ai-or-not discussion, my view is that it's a question of definition. All too often people discuss details in intelligence without defining the word "intelligence" We don't need an universal all true definition - but mere statements like: when I talk about intelligence in my post, I mean bla bla.
You tell me what you mean with intelligence, and I will tell you whether it can be put into a computer or not
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Another small comment: A very interesting definition of consiousness is "the ability to reflect on ones own cognitive [i.e. brain] processes"
think about that for a second
That definition fits well when it comes to humans and animals and it can be shown that monkeys are consious [however it's spelled], but ants are not.
So, do computerprograms have consciousness?? well, I don't know.
But some programs takes a look at their own calculations and says: Hey, is this result reasonable? - if an animal did that, it would be coinsidered to be a sign of consciousness. Interesting, right?
Perhaps consciousness and self-awareness isn't this big holy grail everybody makes it out to be.
I have a really weird friend, can you prove that he has self-awareness?? can you show that an alzheimer-patient has??
EDIT: Iknew I forgot something:
quote:
You just learn new combinations of actions, and that's something that a computer program can perfectly do.
Just because you can define all the 700+ muscels humans have, in a computer program doesn't necessary mean that you ever can simulate human behaviour. Just because I can define the 28 letters in the alphabet and do operations with them doesn't show that it is possible to make a computerprogram that writes Shakespeare. Theres is a classic ai problems that deals with this (symbol manipulation), It's called the chineese room or something like that.
*sigh*
Nice to get all this of my chest
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Ulf
[edited by - UlfLivoff on July 10, 2003 5:57:39 AM]
[edited by - UlfLivoff on July 10, 2003 6:02:44 AM]
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