Knowledge Formulation for AI Planning

T. L. McCluskey, R. M. Simpson

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

5 Citations (Scopus)

Abstract

In this paper we present an overview of the principle components of GIPO, an environment to support knowledge acquisition for AI Planning. GIPO assists in the knowledge formulation of planning domains, and in prototyping planning problems within these domains. GIPO features mixed-initiative components such as generic type composition, an operator induction facility, and various plan animation and validation tools. We outline the basis of the main tools, and show how an engineer might use them to formulate a domain model. Throughout the paper we illustrate the formulation process using the Hiking Domain.

Original languageEnglish
Title of host publicationEngineering Knowledge in the Age of the Semantic Web
Subtitle of host publication14th International Conference, EKAW 2004, Whittlebury Hall, UK, October 5-8, 2004. Proceedings
EditorsEnrico Motta, Nigel R Shadbolt, Arthur Stutt, Nick Gibbins
PublisherSpringer-Verlag Berlin Heidelberg
Pages449-465
Number of pages17
VolumeLNAI 3257
ISBN (Electronic)9783540302025
ISBN (Print)9783540233404
DOIs
Publication statusPublished - 2004
Event14th International Conference EKAW 2004: Engineering Knowledge in the Age of the Semantic Web - Whittlebury Hall, Whittlebury, United Kingdom
Duration: 5 Oct 20048 Oct 2004
Conference number: 14

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
PublisherSpringer-Verlag Berlin Heidelberg
VolumeLNAI 3257
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference EKAW 2004
CountryUnited Kingdom
CityWhittlebury
Period5/10/048/10/04

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Cite this

McCluskey, T. L., & Simpson, R. M. (2004). Knowledge Formulation for AI Planning. In E. Motta, N. R. Shadbolt, A. Stutt, & N. Gibbins (Eds.), Engineering Knowledge in the Age of the Semantic Web: 14th International Conference, EKAW 2004, Whittlebury Hall, UK, October 5-8, 2004. Proceedings (Vol. LNAI 3257, pp. 449-465). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. LNAI 3257). Springer-Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-540-30202-5_30