Intention is choice with commitment
Artificial Intelligence
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
Conditioning in possibility theory with strict order norms
Fuzzy Sets and Systems
Possibility Theory, Probability Theory and Multiple-Valued Logics: A Clarification
Annals of Mathematics and Artificial Intelligence
Autonomous Agents and Multi-Agent Systems
META-92 Proceedings of the 3rd International Workshop on Meta-Programming in Logic
PRICAI '96 Proceedings from the Workshop on Intelligent Agent Systems, Theoretical and Practical Issues
Artificial Intelligence - Special issue: Fuzzy set and possibility theory-based methods in artificial intelligence
Goal generation with relevant and trusted beliefs
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Goal Generation and Adoption from Partially Trusted Beliefs
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Asymmetry thesis and side-effect problems in linear-time and branching-time intention logics
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Graded BDI models for agent architectures
CLIMA'04 Proceedings of the 5th international conference on Computational Logic in Multi-Agent Systems
Belief-Goal Relationships in Possibilistic Goal Generation
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
A Syntactic Possibilistic Belief Change Operator for Cognitive Agents
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Graded Reinstatement in Belief Revision
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume One
A syntactic possibilistic belief change operator: Theory and empirical study
Web Intelligence and Agent Systems
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We propose an integrated theoretical framework, grounded in possibility theory, to account for all the aspects involved in representing and changing beliefs, representing and generating justified desires, and selecting goals based on current and uncertain beliefs about the world, and the preferences of the agent. Beliefs and desires of a cognitive agent are represented as (two distinct) possibility distributions. This is the original part of the proposed framework in the sense that there does not really exist a full-fledged possibilistic approach to BDI. In the proposed framework: (i) the possibility distribution representing the qualitative utilities associated with desires are the result of a rule-based deliberative process, that is, they depend on the mental state of the agent and are not given a priori; and (ii) the criteria for choosing goals take into account not only the fact that goals must be consistent in the logical sense, but also in the cognitive sense.