Yes, I was not claiming that there was just one type of hypercomputer,
merely that some initially very different-looking types do turn out to
be equivalent.

You seem quite knowledgeable about the subject. Can you recommend any
books or papers?

On Wed, Jul 2, 2008 at 1:42 PM, Hector Zenil <[EMAIL PROTECTED]> wrote:
> On Wed, Jul 2, 2008 at 1:30 PM, Abram Demski <[EMAIL PROTECTED]> wrote:
>> Hector Zenil said:
>> "and that is one of the many issues of hypercomputation: each time one
>> comes up with a standard model of hypercomputation there is always
>> another not equivalent model of hypercomputation that computes a
>> different set of functions, i.e. there is no convergence in models
>> unlike what happened when digital computation was characterized"
>>
>> This is not entirely true. Turing's oracle machines turn out to
>> correspond to infinite-time machines, and both correspond to the
>> arithmetical hierarchy.
>
> At each level of the arithmetical hierarchy there is a universal
> oracle machine (a hypercomputer), so there is no standard model of
> hypercomputation unless you make strong assumptions, unlike digital
> computation. There are even hiperarithmetical machines and as stated
> by Post's problem, intermediate non-comparable degrees at each level
> of the arithmetical and hiperarithmetical (that's why the Turing
> universe does not build a total order).
>
>>
>> On Wed, Jul 2, 2008 at 12:38 PM, Hector Zenil <[EMAIL PROTECTED]> wrote:
>>> The standard model of quantum computation as defined by Feynman and
>>> Deutsch is Turing computable (based on the concept of qubits). As
>>> proven by Deutsch they compute the same set of functions than Turing
>>> machines but faster (if they are feasible).
>>>
>>> Non-standard models of quantum computation are not widely accepted,
>>> and even when they could hypercompute many doubt that we could take
>>> any from continuum entangling to perform computations. Non-standard
>>> quantum computers have not yet being well defined (and that is one of
>>> the many issues of hypercomputation: each time one comes up with a
>>> standard model of hypercomputation there is always another not
>>> equivalent model of hypercomputation that computes a different set of
>>> functions, i.e. there is no convergence in models unlike what happened
>>> when digital computation was characterized).
>>>
>>> Hypercomputational models basically pretend to take advantage from
>>> either infinite time or infinite space (including models such as
>>> infinite resources, Zeno machines or the Omega-rule, real computation,
>>> etc.), from the continuum. Depending of the density of that space/time
>>> continuum one can think of several models taking advantage at several
>>> levels of the arithmetical hierarchy. But even if there is infinite
>>> space or time another issue is how to verify a hypercomputation. One
>>> would need another hypercomputer to verify the first and then trust in
>>> one.
>>>
>>> Whether you think hypercomputation, the following paper is a most read
>>> for those interested on the topic. Martin Davis' articulates several
>>> criticisms:
>>> The myth of hypercomputation, in: C. Teuscher (Ed.), Alan Turing: Life
>>> and Legacy of a Great Thinker (2004)
>>>
>>> Serious work on analogous computation can be found in papers from
>>> Felix Costa et al.:
>>> http://fgc.math.ist.utl.pt/jfc.htm
>>>
>>> My master's thesis was on the subject so if you are interested in
>>> getting an electronic copy just let me know. It is in French though.
>>>
>>>
>>>
>>>
>>> On Wed, Jul 2, 2008 at 11:15 AM, Abram Demski <[EMAIL PROTECTED]> wrote:
>>>> "So yes, I think there are perfectly fine, rather simple
>>>> definitions for computing machines that can (it seems
>>>> like) perform calculations that turing machines cannot.
>>>> It should really be noted that quantum computers fall
>>>> into this class."
>>>>
>>>> This is very interesting. Previously, I had heard (but not from a
>>>> definitive source) that quantum computers could compute in principle
>>>> only what a Turing machine could compute, but could do it much more
>>>> efficiently (something like the square root of the effort a Turing
>>>> machine would need, at least for some tasks). Can you cite any source
>>>> on this?
>>>>
>>>> But I should emphasize that what I am really interested in is
>>>> computable approximation of uncomputable things. My stance is that an
>>>> AGI should be able to reason about uncomputable concepts in a coherent
>>>> manner (like we can), not that it needs to be able to actually compute
>>>> them (which we can't).
>>>>
>>>> On Tue, Jul 1, 2008 at 2:35 AM, Linas Vepstas <[EMAIL PROTECTED]> wrote:
>>>>> 2008/6/16 Abram Demski <[EMAIL PROTECTED]>:
>>>>>> I previously posted here claiming that the human mind (and therefore
>>>>>> an ideal AGI) entertains uncomputable models, counter to the
>>>>>> AIXI/Solomonoff model. There was little enthusiasm about this idea. :)
>>>>>
>>>>> I missed your earlier posts. However, I believe that there
>>>>> are models of computation can compute things that turing
>>>>> machines cannot, and that this is not arcane, just not widely
>>>>> known or studied.  Here is a quick sketch:
>>>>>
>>>>> Topological finite automata, or geometric finite automata,
>>>>> (of which the quantum finite automata is a special case)
>>>>> generalize the notion of non-deterministic finite automata
>>>>> by replacing its powerset of states with a general topological
>>>>> or geometric space (complex projective space in the quantum
>>>>> case). It is important to note that these general spaces are
>>>>> in general uncountable (have the cardinality of the continuum).
>>>>>
>>>>> It is "well known" that the languages accepted by quantum
>>>>> finite automata are not regular languages, they are "bigger"
>>>>> and "more complex" in some ways. I am not sure what is
>>>>> known about the languages accepted by quantum push-down
>>>>> automata, but intuitively these are "clearly" different (and bigger)
>>>>> than the class of context-free languages.
>>>>>
>>>>> I believe the concepts of topological finite automata extend
>>>>> just fine to a generalization of turing machines, but I also
>>>>> believe this is a poorly-explored area of mathematics.
>>>>> I beleive such machines can compute things that turing
>>>>> machiens can't ..  this should not be a surprise, since,
>>>>> after all, these systems have, in general, an uncountably
>>>>> infinite number of internal states (cardinality of the
>>>>> continuum!), and (as a side effect of the definition),
>>>>> perform infinite-precision addition and multiplication
>>>>> in finite time.
>>>>>
>>>>> So yes, I think there are perfectly fine, rather simple
>>>>> definitions for computing machines that can (it seems
>>>>> like) perform calculations that turing machines cannot.
>>>>> It should really be noted that quantum computers fall
>>>>> into this class.
>>>>>
>>>>> Considerably more confusing is the relationship of
>>>>> such machines (and the languages they accept) to
>>>>> lambda calculus, or first-order (or higher-order) logic.
>>>>> This is where the rubber hits the road, and even for
>>>>> the simplest examples, the systems are poorly
>>>>> understood, or not even studied.  So, yeah, I think
>>>>> there's plenty of room for "the uncomputable" in
>>>>> some rather simple mathematical models of generalized
>>>>> computation.
>>>>>
>>>>> --linas
>>>>>
>>>>>
>>>>> -------------------------------------------
>>>>> agi
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>>>>
>>>>
>>>> -------------------------------------------
>>>> agi
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>>>
>>>
>>>
>>> --
>>> Hector Zenil    http://zenil.mathrix.org
>>>
>>>
>>> -------------------------------------------
>>> agi
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>>
>>
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>
>
>
> --
> Hector Zenil    http://zenil.mathrix.org
>
>
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> agi
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