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Feedback Hyperjump

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Logical Foundations of Computer Science (LFCS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11972))

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Abstract

Feedback is oracle computability when the oracle consists exactly of the con- and divergence information about computability relative to that same oracle. Here we study the feedback version of the hyperjump.

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Notes

  1. 1.

    This child is to be thought of as a piece of syntax acting as a placeholder, and not, for instance, as feedback computation, for which angle brackets \(\langle \rangle \) are also used.

  2. 2.

    Sometimes we will have occasion to consider the computation \(\{\bar{e}\}(k)\) instead. Then implicity \(e = \langle \bar{e}, k \rangle \).

  3. 3.

    It bears mention that there are several options for dealing with this clause. In all cases, the evidence that n is not an ordinal notation is that its tree \(U^{P}_{n}\) of smaller ordinal notations is bad somehow, either ill-formed or ill-founded. For \(P^+\), we took this in the strictest possible sense: \(U^{P}_{n}\) had to be non-freezing in order to qualify as evidence. For \( P^{ \& }\), there is no such requirement on \(U^P_n\) ever; once we have any evidence that \(U^{P}_{n}\) will not be acceptable, we take it. In contrast with both of these, one could work in the middle. That is, the reasons that \(U^{P}_{n}\) activate clause 2 are that it has a node not of the right form, or that the function named by a node is partial, or that the function named by a node is not increasing (in the sense of \(<_{P}\)), or that the tree has an infinite descending path; the requirement that \(U^{P}_{n}\) be non-freezing could, in principle, be levied on some and not all of these conditions. We find the two extreme cases isolated here to be the most natural ones; we believe that the only condition of any real importance is the well-foundedness of \(U^{P}_{n}\), and that varying the others will make no difference; determining this is left for future work.

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Correspondence to Robert S. Lubarsky .

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Lubarsky, R.S. (2020). Feedback Hyperjump. In: Artemov, S., Nerode, A. (eds) Logical Foundations of Computer Science. LFCS 2020. Lecture Notes in Computer Science(), vol 11972. Springer, Cham. https://doi.org/10.1007/978-3-030-36755-8_10

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