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Plausibility and probability in deductive reasoning

2019-02-06
Andrew MacFie

Abstract

We consider the problem of rational uncertainty about unproven mathematical statements, which G"odel and others have remarked on. Using Bayesian-inspired arguments we build a normative model of fair bets under deductive uncertainty which draws from both probability and the theory of algorithms. We comment on connections to Zeilberger’s notion of “semi-rigorous proofs”, particularly that inherent subjectivity would be present. We also discuss a financial view, with models of arbitrage where traders have limited computational resources.

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URL

http://arxiv.org/abs/1708.09032

PDF

http://arxiv.org/pdf/1708.09032


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