Maximum Entropy Inference with Quantified Knowledge

DOI10.1093/jigpal/jzm028zbMath1133.03326OpenAlexW1999096610MaRDI QIDQ5448852

Jeffrey Bruce Paris, Owen Barnett

Publication date: 7 March 2008

Published in: Logic Journal of IGPL (Search for Journal in Brave)

Full work available at URL: http://eprints.maths.manchester.ac.uk/1182/1/Paris_paper_8.pdf

zbMATH Keywords

maximum entropylogicprobability logicuncertain reasoning

Mathematics Subject Classification ID

Probability and inductive logic (03B48) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (12)

A triple uniqueness of the maximum entropy approach ⋮ Logical perspectives on the foundations of probability ⋮ Rules of proof for maximal entropy inference ⋮ Probabilism, entropies and strictly proper scoring rules ⋮ Inference Processes for Quantified Predicate Knowledge ⋮ Determining maximal entropy functions for objective Bayesian inductive logic ⋮ Towards the entropy-limit conjecture ⋮ From Bayesian epistemology to inductive logic ⋮ Equivocation axiom on first order languages ⋮ Probabilistic characterisation of models of first-order theories ⋮ The entropy-limit (conjecture) for \(\Sigma_2\)-premisses ⋮ Probabilistic Reasoning in the Description Logic $$\mathcal {ALCP}$$ with the Principle of Maximum Entropy

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