Theoretical and experimental results on the goal-plan tree problem

Berndt Muller, R. Bordoni, P.H. Shaw

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 publicationN/A
Number of pages4
Publication statusPublished - 1 Jan 2008
Event 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), - Location unknown - please update
Duration: 1 Jan 20081 Jan 2008

Conference

Conference 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008),
Period1/01/081/01/08

Keywords

  • ai
  • intelligent agents
  • petri nets

Cite this