Inference Processes for Quantified Predicate Knowledge

DOI10.1007/978-3-540-69937-8_22zbMath1155.03301OpenAlexW1640236959MaRDI QIDQ3511463

Jeffrey Bruce Paris, Soroush Rafiee Rad

Publication date: 10 July 2008

Published in: Logic, Language, Information and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-69937-8_22

zbMATH Keywords

probability logicUncertain reasoninginference processesRenyi Entropies

Mathematics Subject Classification ID

Probability and inductive logic (03B48) Reasoning under uncertainty in the context of artificial intelligence (68T37) Measures of information, entropy (94A17)

Related Items (9)

Some properties of Rényi entropy and Rényi entropy rate ⋮ Logical perspectives on the foundations of probability ⋮ Tracking probabilistic truths: a logic for statistical learning ⋮ Unnamed Item ⋮ Unnamed Item ⋮ Towards the entropy-limit conjecture ⋮ Probabilistic characterisation of models of first-order theories ⋮ Rényi entropy rate for Gaussian processes ⋮ The entropy-limit (conjecture) for \(\Sigma_2\)-premisses

Cites Work

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• Model theory
• In defense of the maximum entropy inference process
• From statistical knowledge bases to degrees of belief
• The Uncertain Reasoner's Companion
• I.—PROBABILITY: THE DEDUCTIVE AND INDUCTIVE PROBLEMS
• Asymptotic Conditional Probabilities: The Unary Case
• Asymptotic conditional probabilities: The non-unary case
• Maximum Entropy Inference with Quantified Knowledge

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