Multilanguage hierarchical logics, or: how we can do without modal logics
Artificial Intelligence
Dynamic logic for reasoning about actions and agents
Logic-based artificial intelligence
The Belief-Desire-Intention Model of Agency
ATAL '98 Proceedings of the 5th International Workshop on Intelligent Agents V, Agent Theories, Architectures, and Languages
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
Validation and Experimentation of a Tourism Recommender Agent based on a Graded BDI Model
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
Reasoning from desires to intentions: a dialectical framework
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Graded BDI models for agent architectures
CLIMA'04 Proceedings of the 5th international conference on Computational Logic in Multi-Agent Systems
Argumentation-based negotiation planning for autonomous agents
Decision Support Systems
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In intentional agents, actions are derived from the mental attitudes and their relationships. In particular, preferences (positive desires) and restrictions (negative desires) are important proactive attitudes which guide agents to intentions and eventually to actions. In this paper we overview recent developments about a multi-context based agent architecture g-BDI to represent and reasoning about gradual notions of desires and intentions, including sound and complete logical formalizations. We also show that the framework is expressive enough to describe how desires, together with other information, can lead agents to intentions and finally to actions. As a case-study, we will also describe the design and implementation of recommender system on tourism as well as the results of some experiments concerning the flexibility and performance of the g-BDI model.