Agent Programming with Declarative Goals
ATAL '00 Proceedings of the 7th International Workshop on Intelligent Agents VII. Agent Theories Architectures and Languages
Semantics of declarative goals in agent programming
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Goal-oriented modularity in agent programming
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Goal types in agent programming
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Goal-Oriented Development of BDI Agents: The PRACTIONIST Approach
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Goals in the context of BDI plan failure and planning
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Detecting & avoiding interference between goals in intelligent agents
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A practical agent programming language
ProMAS'07 Proceedings of the 5th international conference on Programming multi-agent systems
A goal deliberation strategy for BDI agent systems
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
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In agent theory and agent programming, goals constitute the motivational attitude of rational agents and form the key concept in explaining and generating their pro-active behavior. Pursuing multiple goals simultaneously might pose problems for agents as the plans for achieving them may conflict. We argue that a BDI-based agent programming language should provide constructs to allow an agent programmer to implement agents that: 1) do not pursue goals with conflicting plans simultaneously, and 2) can choose from goals with conflicting plans. This paper presents an explicit and generic mechanism to process incompatible goals, i.e., goals with conflicting plans. The proposed mechanism can be integrated in existing BDI-based agent programming languages. We discuss different strategies to process incompatible goals based on a given conflict relation and show some properties and relations between these strategies.