Probabilistic Approach to Nonmonotonic Consequence Relations

DOI10.1007/978-3-642-22152-1_39zbMath1341.68211OpenAlexW84319734MaRDI QIDQ3011966

Dragan Doder, Zoran Ognjanović, Aleksandar Perović

Publication date: 29 June 2011

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-22152-1_39

Mathematics Subject Classification ID

Logic in artificial intelligence (68T27) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (1)

Applications of Logics About Simple Probabilities

Cites Work

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• Measures of inconsistency and defaults
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• What does a conditional knowledge base entail?
• A logic with approximate conditional probabilities that can model default reasoning
• Injective Models and Disjunctive Relations
• Beyond rational monotony: some strong non-horn rules for nonmonotonic inference relations
• On negation rationality
• Possibilistic and standard probabilistic semantics of conditional knowledge bases
• Two Representation Theorems for Non-monotonic Inference Relations
• Plausibility measures and default reasoning
• Some contributions to nonmonotonic consequence

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