Characterizing multi-contributor causal structures for planning

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

6 Scopus citations

Abstract

Explicit causal structure representations have been widely used in classical planning systems to guide a variety of aspects of planning, including plan generation, modification and generalization. For the most part, these representations were limited to single-contributor causal structures. Although widely used, single-contributor causal structures have several limitations in handling partially ordered and partially instantiated plans. The foremost among these is that they are incapable of exploiting redundancy in the plan. In this paper, we explore multi-contributor causal structures as a way of overcoming these limitations. We will provide a general formulation for multi-contributor causal links, and explore the properties of several special classes of this formulation. We will also discuss their applications in plan generation, modification and generalization.

Original languageEnglish (US)
Title of host publicationProc 1 Int Conf Artif Intell Plann Syst
PublisherPubl by Morgan Kaufmann Publ Inc
Pages116-125
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)

Fingerprint Dive into the research topics of 'Characterizing multi-contributor causal structures for planning'. Together they form a unique fingerprint.

  • Cite this

    Kambhampati, S. (1992). Characterizing multi-contributor causal structures for planning. In Proc 1 Int Conf Artif Intell Plann Syst (pp. 116-125). (Proc 1 Int Conf Artif Intell Plann Syst). Publ by Morgan Kaufmann Publ Inc.