Proceedings of the 1st international conference on Knowledge capture
Detecting & exploiting positive goal interaction in intelligent agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An adaptive plan-based dialogue agent: integrating learning into a BDI architecture
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Computationally Effective Reasoning About Goal Interactions
Journal of Automated Reasoning
Situational preferences for BDI plans
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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Agent systems based on the BDI paradigm need to make decisions about which plans are used to achieve their goals. Usually the choice of which plan to use to achieve a particular goal is left up to the system to determine. In this paper we show how preferences, which can be set by the user of the system, can be incorporated into the BDI execution process and used to guide the choices made.