Theoretical and experimental results on the goal-plan tree problem

  • Authors:
  • Patricia H. Shaw;Berndt Farwer;Rafael H. Bordini

  • Affiliations:
  • University of Durham, Durham, U.K.;University of Durham, Durham, U.K.;University of Durham, Durham, U.K.

  • Venue:
  • Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
  • Year:
  • 2008

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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.