Intention is choice with commitment
Artificial Intelligence
Propositional knowledge base revision and minimal change
Artificial Intelligence
Representation and reasoning for goals in BDI agents
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
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
Trust in information sources as a source for trust: a fuzzy approach
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Goal generation with relevant and trusted beliefs
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Goal generation from beliefs based on trust and distrust
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Cognitive-Agent-Based Modeling of a Financial Market
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
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 possibilistic approach to goal generation in cognitive agents
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part II
Goal generation from possibilistic beliefs based on trust and distrust
DALT'09 Proceedings of the 7th international conference on Declarative Agent Languages and Technologies
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A rational agent adopts (or changes) its goals when new information (beliefs) becomes available or its desires (e.g., tasks it is supposed to carry out) change. In this paper we propose a non-conventional approach for adopting goals which takes the degree of trust in the sources of information into account. Beliefs, desires, and goals, as a consequence, are gradual. Incoming information may be any propositional formula. Two algorithms for updating the mental state of an agent in this new setting are proposed. The first algorithm is relevant to the updating when a new piece of information arrives and the second one is relevant to the updating when a new desire arises.