Predicting and explaining success and task duration in the phoenix planner

David M. Hart, Paul R. Cohen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Phoenix is a multi-agent planning system that fights simulated forest-fires. In this paper we describe an experiment with Phoenix in which we uncover factors that affect the planner's behavior and test predictions about the planner's robustness against variations in some of these factors. We also introduce a technique - path analysis - for constructing and testing causal explanations of the planner's behavior.

Original languageEnglish (US)
Title of host publicationProc 1 Int Conf Artif Intell Plann Syst
PublisherPubl by Morgan Kaufmann Publ Inc
Pages106-115
Number of pages10
ISBN (Print)155860250X
StatePublished - Dec 1 1992
EventProceedings of the 1st International Conference on Artificial Intelligence Planning Systems - College Park, MD, USA
Duration: Jun 15 1992Jun 17 1992

Publication series

NameProc 1 Int Conf Artif Intell Plann Syst

Other

OtherProceedings of the 1st International Conference on Artificial Intelligence Planning Systems
CityCollege Park, MD, USA
Period6/15/926/17/92

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Hart, D. M., & Cohen, P. R. (1992). Predicting and explaining success and task duration in the phoenix planner. In Proc 1 Int Conf Artif Intell Plann Syst (pp. 106-115). (Proc 1 Int Conf Artif Intell Plann Syst). Publ by Morgan Kaufmann Publ Inc.