Theoretical and Experimental Results on the Goal-Plan Tree Problem

Patricia Shaw, Berndt Farwer, Rafael H. Bordini

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

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.
Original languageEnglish
Title of host publicationAAMAS '08
Subtitle of host publicationProceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
PublisherInternational Foundation for Autonomous Agents and Multiagent Systems
Number of pages4
ISBN (Print)978-0-9817381-2-3
Publication statusPublished - 12 May 2008
Externally publishedYes

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