An Effective Procedure for Computing "Uncomputable" Functions
Kurt Ammon

TL;DR
The paper introduces a Turing-computable procedure that generates total functions but demonstrates limitations in computing certain functions, highlighting aspects of reasoning beyond Turing machine capabilities.
Contribution
It presents a new effective procedure for generating total functions and shows how it models reasoning processes that Turing machines cannot simulate.
Findings
The procedure produces a total function from any natural number input.
It cannot be set to compute the output of any Turing-computable total function.
It defines creative procedures that compute non-Turing-computable functions.
Abstract
We give an effective procedure that produces a natural number in its output from any natural number in its input, that is, it computes a total function. The elementary operations of the procedure are Turing-computable. The procedure has a second input which can contain the Goedel number of any Turing-computable total function whose range is a subset of the set of the Goedel numbers of all Turing-computable total functions. We prove that the second input cannot be set to the Goedel number of any Turing-computable function that computes the output from any natural number in its first input. In this sense, there is no Turing program that computes the output from its first input. The procedure is used to define creative procedures which compute functions that are not Turing-computable. We argue that creative procedures model an aspect of reasoning that cannot be modeled by Turing machines.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputability, Logic, AI Algorithms · Benford’s Law and Fraud Detection · Cellular Automata and Applications
