Intention is choice with commitment
Artificial Intelligence
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
Social trust: a cognitive approach
Trust and deception in virtual societies
Representation and reasoning for goals in BDI agents
ACSC '02 Proceedings of the twenty-fifth Australasian conference on Computer science - Volume 4
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
Propositional planning in BDI agents
Proceedings of the 2004 ACM symposium on Applied computing
Trust Dynamics: How Trust Is Influenced by Direct Experiences and by Trust Itself
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
An argumentation based approach for practical reasoning
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Possibility theory as a basis for qualitative decision theory
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Goal generation from beliefs based on trust and distrust
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Goal Generation and Adoption from Partially Trusted Beliefs
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
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
Preference generation for autonomous agents
MATES'10 Proceedings of the 8th German conference on Multiagent system technologies
Introducing relevance awareness in BDI agents
ProMAS'09 Proceedings of the 7th international conference on Programming multi-agent systems
Reasoning about uncertain information and conflict resolution through trust revision
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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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 conventional approaches to goal generation in which a goal is considered as a "particular" desire, a goal is adopted if and only if all conditions leading to its generation are satisfied. It is then supposed that all beliefs are equally relevant and their sources completely trusted. However, that is not a realistic setting. In fact, depending on the agent's trust in the source of a piece of information, an agent may decide how strongly it takes into consideration such piece of information in goal generation. On the other hand, not all beliefs are equally relevant to the adoption of a given goal, and a given belief may not be equally relevant to the adoption of different goals. We propose an approach which takes into account both the relevance of beliefs and the trust degree of the source from which the corresponding piece of information comes, in desire/goal generation. Two algorithms for updating the mental state of an agent in this new setting and three ways for comparing the resulting fuzzy set of desires have been given. Finally, two fundamental postulates any rational goal election function should obey have been stated.