AgentSpeak(L): BDI agents speak out in a logical computable language
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
AI*IA '95 Proceedings of the 4th Congress of the Italian Association for Artificial Intelligence on Topics in Artificial Intelligence
INAP'01 Proceedings of the Applications of prolog 14th international conference on Web knowledge management and decision support
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 graded BDI agent model to represent and reason about preferences
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
A syntactic possibilistic belief change operator: Theory and empirical study
Web Intelligence and Agent Systems
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Modelling real world problems using rational agents has been heavily investigated over the past two decades. BDI (Beliefs, Desires, and Intentions) Logic has been widely used to represent and reason about rational agency. However, in the real world, we often have to deal with different levels of confidence in the beliefs we hold, desires we have, and intentions that we commit to. This paper proposes the basis of a framework that extends BDI Logic to take into account qualitative levels of the mentalistic notions of beliefs, desires, and intentions. We also describe a set of axioms and properties of the extended logic.