Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence Reasoning About Preferences in Intelligent Agent Systems ∗

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.

[1]  Michael Winikoff,et al.  Avoiding Resource Conflicts in Intelligent Agents , 2002, ECAI.

[2]  Karen L. Myers,et al.  Resolving Conflicts in Agent Guidance , 2002 .

[3]  Karen L. Myers,et al.  Human directability of agents , 2001, K-CAP '01.

[4]  Koen V. Hindriks,et al.  Exploring Heuristic Action Selection in Agent Programming , 2009, ProMAS.

[5]  Journal of automated reasoning , 1986 .

[6]  Sheila A. McIlraith,et al.  Compiling Qualitative Preferences into Decision-Theoretic Golog Programs , 2005 .

[7]  Sheila A. McIlraith,et al.  Decision-Theoretic GOLOG with Qualitative Preferences , 2006, KR.

[8]  Jorge A. Baier,et al.  On Domain-Independent Heuristics for Planning with Qualitative Preferences , 2007, AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning.

[9]  Anand S. Rao,et al.  An Abstract Architecture for Rational Agents , 1992, KR.

[10]  Anh Nguyen,et al.  An adaptive plan-based dialogue agent: integrating learning into a BDI architecture , 2006, AAMAS '06.

[11]  Michael Winikoff,et al.  Detecting & exploiting positive goal interaction in intelligent agents , 2003, AAMAS '03.

[12]  Sheila A. McIlraith,et al.  Planning with Qualitative Temporal Preferences , 2006, KR.

[13]  Lin Padgham,et al.  Computationally Effective Reasoning About Goal Interactions , 2011, Journal of Automated Reasoning.

[14]  Koen V. Hindriks,et al.  Using Temporal Logic to Integrate Goals and Qualitative Preferences into Agent Programming , 2008, DALT.