Hypercomputation - Analysis of Capabilities

Analysis of Capabilities

Many hypercomputation proposals amount to alternative ways to read an oracle or advice function embedded into an otherwise classical machine. Others allow access to some higher level of the arithmetic hierarchy. For example, supertasking Turing machines, under the usual assumptions, would be able to compute any predicate in the truth-table degree containing or . Limiting-recursion, by contrast, can compute any predicate or function in the corresponding Turing degree, which is known to be . Gold further showed that limiting partial recursion would allow the computation of precisely the predicates.

Model Computable predicates Notes Refs
supertasking tt dependent on outside observer
limiting/trial-and-error
iterated limiting (k times)
Blum-Shub-Smale machine incomparable with traditional computable real functions.
Malament-Hogarth spacetime HYP Dependent on spacetime structure
Analog recurrent neural network f is an advice function giving connection weights; size is bounded by runtime
Infinite time Turing machine
Classical fuzzy Turing machine For any computable t-norm
Increasing function oracle For the one-sequence model; are r.e.

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