A Probabilistic Reasoning in Incomplete Knowledge for Theorem Proving

불완전한 지식에서 정리증명을 위한 확률추론

  • Kim, Jin-Sang (Faculty of Computer and Electronics Engineering, Keimyung University) ;
  • Shin, Yang-Kyu (School of Information Science, Kyungsan University)
  • 김진상 (계명대학교 컴퓨터 전자공학부) ;
  • 신양규 (경산대학교 정보과학부)
  • Published : 2001.04.30

Abstract

We present a probabilistic reasoning method for inferring knowledge about mathematical truth before an automated theorem prover completes a proof. We use a Bayesian analysis to update beleif in truth, given theorem-proving progress, and show how decision-theoretic methods can be used to determine the value of continuing to deliberate versus taking immediate action in time-critical situations.

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