Epistemic entrenchment and possibilistic logic
Artificial Intelligence
Handbook of logic in artificial intelligence and logic programming (vol. 3)
Knowledge-level analysis of belief base operations
Artificial Intelligence
Conditioning in possibility theory with strict order norms
Fuzzy Sets and Systems
META-92 Proceedings of the 3rd International Workshop on Meta-Programming in Logic
Belief Revision Through the Belief-Function Formalism in a Multi-Agent Environment
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Reasoning with Levels of Modalities in BDI Logic
Agent Computing and Multi-Agent Systems
An integrated possibilistic framework for goal generation in cognitive agents
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
A syntactic possibilistic belief change operator: Theory and empirical study
Web Intelligence and Agent Systems
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We propose a syntactic possibilistic belief-change operator, which operates on a belief base represented as a fuzzy set of formulas. Such a set may be regarded as a finite and compact encoding of a possibility distribution over a possibly infinite set of interpretations. The proposed operator is designed so that it behaves like a semantic possibilistic belief-change operator for BDI agents recently proposed in the literature. The equivalence of the semantic and syntactic operators is then proved.