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Representation and extraction of information by probabilistic logic

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Publication:675976
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DOI10.1016/S0306-4379(96)00032-4zbMath0869.68100OpenAlexW2032924093WikidataQ128089339 ScholiaQ128089339MaRDI QIDQ675976

Wilhelm Rödder, Gabriele Kern-Isberner

Publication date: 20 August 1997

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

Full work available at URL: https://doi.org/10.1016/s0306-4379(96)00032-4

zbMATH Keywords

probabilistic knowledge base


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)


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Characterizing the principle of minimum cross-entropy within a conditional-logical framework, On the measurability of knowledge acquisition and query processing., Conditional logic and the Principle of Entropy, Achieving parametric uniformity for knowledge bases in a relational probabilistic conditional logic with maximum entropy semantics, Combining probabilistic logic programming with the power of maximum entropy



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