From information to probability: An axiomatic approach-Inference is information processing

DOI10.1002/int.10094zbMath1016.68164OpenAlexW1982426001MaRDI QIDQ4805674

Gabriele Kern-Isberner, Wilhelm Rödder

Publication date: 8 May 2003

Published in: International Journal of Intelligent Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/int.10094

zbMATH Keywords

information theoryknowledge processing

Mathematics Subject Classification ID

Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Related Items (5)

Belief revision and information fusion on optimum entropy ⋮ Imprecise probabilistic query answering using measures of ignorance and degree of satisfaction ⋮ Recall and reasoning -- an information theoretical model of cognitive processes ⋮ Compressing strongly connected subgroups in social networks: An entropy-based approach ⋮ Combining probabilistic logic programming with the power of maximum entropy

Cites Work

• A Mathematical Theory of Communication
• The logical view of conditioning and its application to possibility and evidence theories
• I-divergence geometry of probability distributions and minimization problems
• Conditional logic and the Principle of Entropy
• Conditionals in nonmonotonic reasoning and belief revision. Considering conditionals as agents

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