A theory of conditional information for probabilistic inference in intelligent systems. II: Product space approach

DOI10.1016/0020-0255(94)90065-5zbMath0834.68109OpenAlexW2057825727MaRDI QIDQ1328559

Irwin R. Goodman, Nguyen Trung Hung

Publication date: 26 July 1994

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0020-0255(94)90065-5

zbMATH Keywords

Boolean algebraprobabilistic inferenceconditional informationprobabilistic intelligent systems

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Artificial intelligence (68T99) General topics in artificial intelligence (68T01)

Related Items

A theory of conditional information for probabilistic inference in intelligent systems: III. Mathematical appendix, Canonical extension of possibility measures to Boolean algebras of conditionals, Applications of product space algebra of conditional events and one-point random set representations of fuzzy sets to the development of conditional fuzzy sets, Combining ambiguous evidence with respect to ambiguous a priori knowledge. II: Fuzzy logic, On conditional probabilities and their canonical extensions to Boolean algebras of compound conditionals, Boolean algebras of conditionals, probability and logic, A Tacit Assumption Behind Lewis Triviality That Is Not Applicable to Product Space Conditional Event Algebra, Lüders rule and conditional probability for commuting events

Cites Work

• An algebraic synthesis of the foundations of logic and probability
• An algebraic approach to non-classical logics
• A theory of conditional information for probabilistic inference in intelligent systems: III. Mathematical appendix
• Implicative Boolean algebra
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