Applications of intelligent agents
Agent technology
JAM: a BDI-theoretic mobile agent architecture
Proceedings of the third annual conference on Autonomous Agents
An agent-based approach for building complex software systems
Communications of the ACM
PRICAI '96 Proceedings from the Workshop on Intelligent Agent Systems, Theoretical and Practical Issues
Detecting & exploiting positive goal interaction in intelligent agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Formalisations of Capabilities for BDI-Agents
Autonomous Agents and Multi-Agent Systems
Continuous refinement of agent resource estimates
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Comparative analysis of frameworks for knowledge-intensive intelligent agents
AI Magazine - Special issue on achieving human-level AI through integrated systems and research
To BDI, or not to BDI: design choices in an agent-based traffic flow management simulation
Proceedings of the 2008 Spring simulation multiconference
Goal generation with relevant and trusted beliefs
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Goal Generation with Ordered Beliefs
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
Linking perception and action through motivation and affect
Journal of Experimental & Theoretical Artificial Intelligence
Goal Revision for a Rational Agent
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Goal Generation and Adoption from Partially Trusted Beliefs
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Detecting & avoiding interference between goals in intelligent agents
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Exploiting the environment for coordinating agent intentions
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
A belief-desire framework for goal revision
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Preference generation for autonomous agents
MATES'10 Proceedings of the 8th German conference on Multiagent system technologies
Representing long-term and interest BDI goals
ProMAS'09 Proceedings of the 7th international conference on Programming multi-agent systems
AICT'11 Proceedings of the 2nd international conference on Applied informatics and computing theory
Motivation Based Goal Adoption for Autonomous Intelligent Agents
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
A goal deliberation strategy for BDI agent systems
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
A Runtime Goal Conflict Resolution Model for Agent Systems
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
An operational semantics for the goal life-cycle in BDI agents
Autonomous Agents and Multi-Agent Systems
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A number of agent-oriented programming systems are based on a framework of beliefs, desires and intentions (BDI) and more explicitly on the BDI logic of Rao and Georgeff. In this logic, goals are a consistent set of desires, and this property is fundamental to the semantics of the logic. However, implementations based on this framework typically have no explicit representation of either desires or goals, and consequently no mechanisms for checking consistency. In this paper we address this gap between theory and practice by giving an explicit representation for a simple class of desires. The simplicity of this class makes it both straightforward and efficient to check for consistency. We provide a general framework for conflict resolution based on a preference ordering of sets of goals, and we illustrate how different rules for specifying consistent goal sets (corresponding to different preference orderings) relate to existing commitment strategies. We also report on some implementation experiments which confirm that the cost of consistency maintenance is not significant.