Knowledge formulation for AI planning

McCluskey, T.L. and Simpson, R.M. (2004) Knowledge formulation for AI planning. In: Engineering Knowledge in the Age of the SemanticWeb. Lecture Notes in Computer Science, 3257/2 . Springer Berlin, Heidelberg, pp. 449-465. ISBN 9783540233404

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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

Item Type:	Book Chapter
Additional Information:	The final publication is available at www.springerlink.com
Subjects:	T Technology > T Technology (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools:	School of Computing and Engineering School of Computing and Engineering > Pedagogical Research Group School of Computing and Engineering > High-Performance Intelligent Computing School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge
Related URLs:	Author
Depositing User:	Briony Heyhoe
Date Deposited:	05 Aug 2008 07:57
Last Modified:	28 Aug 2021 23:23
URI:	http://eprints.hud.ac.uk/id/eprint/1335

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