A BIG-STEPPED PROBABILITY APPROACH FOR DISCOVERING DEFAULT RULES

DOI10.1142/S0218488503002235zbMath1072.68616OpenAlexW2084365007MaRDI QIDQ5697027

Dubois, Didier, Salem Benferhat, Sylvain Lagrue, Henri Prade

Publication date: 19 October 2005

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488503002235

zbMATH Keywords

possibility theorynonmonotonic reasoningknowledge discoverydefault rulesbig stepped probabilities

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items

Possibilistic and Probabilistic Logic under Coherence: Default Reasoning and System P ⋮ Semantical investigations into nonmonotonic and probabilistic logics ⋮ Leximax Relations in Decision Making through the Dominance Plausible Rule ⋮ Qualitative Knowledge Discovery

Cites Work

• Multilevel counterfactuals for generalizations of relational concepts and productions
• Nonmonotonic reasoning, preferential models and cumulative logics
• Fuzzy sets as a basis for a theory of possibility
• Diverse confidence levels in a probabilistic semantics for conditional logics