Modelling reasoning processes in natural agents: a partial-worlds-based logical framework for elemental non-monotonic inferences and learning

DOI10.1080/11663081.2016.1214805zbMath1400.68204OpenAlexW2525781877MaRDI QIDQ4586166

Christel Grimaud

Publication date: 12 September 2018

Published in: Journal of Applied Non-Classical Logics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/11663081.2016.1214805

zbMATH Keywords

learningnonmonotonic inferencereasoning processpartial worlds models

Mathematics Subject Classification ID

Other nonclassical logic (03B60) Logic in artificial intelligence (68T27)

Cites Work

• Unnamed Item
• Nonmonotonic reasoning, preferential models and cumulative logics
• What does a conditional knowledge base entail?
• Inference on the low level. An investigation into deduction, nonmonotonic reasoning, and the philosophy of cognition
• CUMULATIVITY WITHOUT CLOSURE OF THE DOMAIN UNDER FINITE UNIONS
• Roadmap for preferential logics
• On Ignorance and Contradiction Considered as Truth-Values

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