A practical measure of the information in a logical theory

DOI10.1080/095281399146544zbMath1054.68640OpenAlexW2090009383MaRDI QIDQ4421243

Greg Gibbon, Janet Aisbett

Publication date: 1999

Published in: Journal of Experimental & Theoretical Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/095281399146544

zbMATH Keywords

belief revisionlogical probabilityrelevance measure

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Philosophical Conceptions of Information

Cites Work

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• A logic for default reasoning
• The problem of incomplete information in relational databases
• Resolving contradictions: A plausible semantics for inconsistent systems
• On the logic of theory change: Partial meet contraction and revision functions
• Relative Information Capacity of Simple Relational Database Schemata
• Variance Analysis Procedures as Motivational Devices
• Probabilities over rich languages, testing and randomness
• Information Flow
• Information and evidence in logic systems
• A logical measure function

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