Abstract
Decision theoretic planning in ai by means of solving Partially Observable Markov decision processes (pomdps) has been shown to be both powerful and versatile. However, such approaches are computationally hard and, from a design stance, are not necessarily intuitive for conceptualising many problems. We propose a novel method for solving pomdps, which provides a designer with a more intuitive means of specifying pomdp planning problems. In particular, we investigate the relationship between pomdp planning theory and belief-desire-intention (bdi) agent theory. The idea is to view a bdi agent as a specification of an pomdp problem. This view is to be supported by a correspondence between an pomdp problem and a bdi agent. In this paper, we outline such a correspondence between pomdp and bdi by explaining how to specify one in terms of the other. Additionally, we illustrate the significance of a correspondence by showing empirically that it yields satisfying results in complex domains.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
R. Bellman. Dynamic Programming. Princeton University Press, Princeton, NJ, 1957.
C. Boutilier, T. Dean, and S. Hanks. Decision-theoretic planning: Structural assumptions and computational leverage. Journal of AI Research, pages 1–94, 1999.
C. Boutilier, R. Reiter, M. Soutchanski, and S. Thrun. Decision-theoretic, high-level agent programming in the situation calculus. In Proceedings of the 7th Conference on Artificial Intelligence (AAAI-00), pages 355–362, Menlo Park, CA, 2000.
M. E. Bratman, D. J. Israel, and M. E. Pollack. Plans and resource-bounded practical reasoning. Computational Intelligence, 4:349–355, 1988.
L. P. Kaelbling, M. L. Littman, and A. R. Cassandra. Planning and acting in partially observable stochastic domains. Artificial Intelligence, 101:99–134, 1998.
D. Kinny and M. Georgeff. Commitment and effectiveness of situated agents. In Proceedings of the Twelfth International Joint Conference on Artificial Intelligence (IJCAI-91), pages 82–88, Sydney, Australia, 1991.
J. Lang, L. v. d. Torre, and E. Weydert. Utilitarian desires. Journal of Autonomous Agents and Multi-Agent Systems, 2002. To appear.
M. E. Pollack and M. Ringuette. Introducing the Tileworld: Experimentally evaluating agent architectures. In Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90), pages 183–189, Boston, MA, 1990.
A. S. Rao and M. P. Georgeff. An abstract architecture for rational agents. In C. Rich, W. Swartout, and B. Nebel, editors, Proceedings of Knowledge Representation and Reasoning (KR&R-92), pages 439–449, 1992.
S. Russell and E. Wefald. Principles of metareasoning. Artificial Intelligence, 49(1–3):361–395, 1991.
M. C. Schut and M. Wooldridge. Intention reconsideration in complex environments. In M. Gini and J. Rosenschein, editors, Proceedings of the Fourth International Conference on Autonomous Agents (Agents 2000), pages 209–216, Barcelona, Spain, 2000.
M. C. Schut and M. Wooldridge. Principles of intention reconsideration. In E. Andre and S. Sen, editors, Proceedings of the Fifth International Conference on Autonomous Agents (Agents 2001), Montreal, Canada, 2001.
M. C. Schut, M. Wooldridge, and S. Parsons. Reasoning about intentions in uncertain domains. In D. Dubois and H. Prade, editors, Proceedings of European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Toulouse, France, 2001.
M. Wooldridge and S. D. Parsons. Intention reconsideration reconsidered. In J. P. Müller, M. P. Singh, and A. S. Rao, editors, Intelligent Agents V (LNAI Volume 1555), pages 63–80. Springer-Verlag: Berlin, Germany, 1999.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schut, M., Wooldridge, M., Parsons, S. (2002). On Partially Observable MDPs and BDI Models. In: d’Inverno, M., Luck, M., Fisher, M., Preist, C. (eds) Foundations and Applications of Multi-Agent Systems. Lecture Notes in Computer Science(), vol 2403. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45634-1_15
Download citation
DOI: https://doi.org/10.1007/3-540-45634-1_15
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43962-2
Online ISBN: 978-3-540-45634-6
eBook Packages: Springer Book Archive