A note on the inevitability of maximum entropy

DOI10.1016/0888-613X(90)90020-3zbMath0697.68089MaRDI QIDQ911803

A. Vensovská, Jeffrey Bruce Paris

Publication date: 1990

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

zbMATH Keywords

maximum entropyinductive inferenceprobabilisticcommonsense principleinexact reasoning

Mathematics Subject Classification ID

Related Items (46)

Objective Bayesianism and the maximum entropy principle ⋮ The information geometry of Bregman divergences and some applications in multi-expert reasoning ⋮ A foundational approach to generalising the maximum entropy inference process to the multi-agent context ⋮ A conditional-logical approach to minimum cross-entropy ⋮ Two characterizations of a minimum-information principle for possibilistic reasoning ⋮ Lakatos's criticism of Carnapian inductive logic was mistaken ⋮ A triple uniqueness of the maximum entropy approach ⋮ A note on measures of fuzziness applied to nonmonotonic fuzzy propositional logic ⋮ Unnamed Item ⋮ Characterizing the principle of minimum cross-entropy within a conditional-logical framework ⋮ Objective Bayesian Nets for Integrating Consistent Datasets ⋮ Logical perspectives on the foundations of probability ⋮ Rules of proof for maximal entropy inference ⋮ On the measurability of knowledge acquisition and query processing. ⋮ Inference Processes for Quantified Predicate Knowledge ⋮ Invariant equivocation ⋮ Determining maximal entropy functions for objective Bayesian inductive logic ⋮ A note on conditional logics and entropy ⋮ The emergence of reasons conjecture. ⋮ Explaining default intuitions using maximum entropy. ⋮ System JLZ -- rational default reasoning by minimal ranking constructions. ⋮ ON FILLING-IN MISSING CONDITIONAL PROBABILITIES IN CAUSAL NETWORKS ⋮ Adaptive decision making via entropy minimization ⋮ Defeasible conditionalization ⋮ Conditional logic and the Principle of Entropy ⋮ Probabilistic knowledge representation using the principle of maximum entropy and Gröbner basis theory ⋮ Equivocation axiom on first order languages ⋮ Probabilistic characterisation of models of first-order theories ⋮ A representation theorem and applications to measure selection and noninformative priors ⋮ A method for updating that justifies minimum cross entropy ⋮ A note on irrelevance in inductive logic ⋮ The entropy-limit (conjecture) for \(\Sigma_2\)-premisses ⋮ Recall and reasoning -- an information theoretical model of cognitive processes ⋮ MEASURING DISTRIBUTION MODEL RISK ⋮ In defense of the maximum entropy inference process ⋮ A note on how Renyi entropy can create a spectrum of probabilistic merging operators ⋮ A polynomial-time fragment of epistemic probabilistic argumentation ⋮ Aggregating incoherent agents who disagree ⋮ Integrating inconsistent data in a probabilistic model ⋮ Towards a Bayesian Theory of Second-Order Uncertainty: Lessons from Non-Standard Logics ⋮ INDEPENDENCE IN COMPLETE AND INCOMPLETE CAUSAL NETWORKS UNDER MAXIMUM ENTROPY ⋮ Rationality as conformity ⋮ A logic for inductive probabilistic reasoning ⋮ Proof systems for probabilistic uncertain reasoning ⋮ A model of belief ⋮ Combining probabilistic logic programming with the power of maximum entropy

Cites Work

• On the applicability of maximum entropy to inexact reasoning
• Why least squares and maximum entropy? An axiomatic approach to inference for linear inverse problems
• Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy

This page was built for publication: A note on the inevitability of maximum entropy