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Theoretical and experimental results on the goal-plan tree problem

Published: 12 May 2008 Publication History

Abstract

Agents programmed in BDI-inspired languages have goals to achieve and a library of plans that can be used to achieve them, typically requiring further goals to be adopted. This is most naturally represented by a structure that has been called a Goal-Plan Tree. One of the uses of such structure is in agent deliberation (in particular, deciding whether to commit to achieving a certain goal or not). This paper presents new experimental results combining various types of goal-plan tree reasoning from the literature.

References

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B. J. Clement and E. H. Durfee. Theory for coordinating concurrent hierarchical planning agents using summary information. In AAAI'99/IAAI'99: Proc. 16th Nat. Conf. on Artificial Intelligence and the 11th Innovative Applications of AI Conf., pages 495--502. Am. Assoc. for AI, 1999.
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B. J. Clement and E. H. Durfee. Performance of coordinating concurrent hierarchical planning agents using summary information. In Proc. 4th Int. Conf. on Multi-Agent Systems (ICMAS'00), pages 373--374. IEEE Comp. Soc., 2000.
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P. Shaw and R. Bordini. Towards alternative approaches to reasoning about goals. In Proc. 5th Int. Workshop on Declarative Agent Languages and Technologies (DALT'07), held with AAMAS'07, pages 104--121. LNCS 4897, Springer, 2008.
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cover image ACM Conferences
AAMAS '08: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
May 2008
503 pages
ISBN:9780981738123

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International Foundation for Autonomous Agents and Multiagent Systems

Richland, SC

Publication History

Published: 12 May 2008

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  1. autonomous agents
  2. petri nets
  3. reasoning

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AAMAS08
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