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A tool supported structured method for planning domain acquisition

Simpson, R.M. and McCluskey, T.L. (2002) A tool supported structured method for planning domain acquisition. In: Foundations of Intelligent Systems. Lecture Notes in Computer Science, 2366 . Springer, pp. 544-552. ISBN 9783540437857

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Abstract

Knowledge engineering in AI planning is the process that deals with the acquisition, validation and maintenance of planning domain models, and the selection and optimisation of appropriate planning machinery to work on them. Our aim is to research and develop rigorous methods for the acquisition, maintenance and validation of planning domain models. We aim to provide a tools environment suitable for use by domain experts in addition to experts in the field of AI planning. In this paper we describe such a method and illustrate it with screen-shots taken from an implemented Graphical Interface for Planning with Objects system called GIPO. The GIPO tools environment has been built to support an object centred approach to planning domain modelling. The principal innovation we present in this paper is a process of specifying domain operators that abstracts away much of the technical detail traditionally required in their specification. Such innovations we believe could ultimately open up the possibility of bringing planning technology to a wider public.

Item Type: Book Chapter
Additional Information: 13th International Symposium on Methodologies for Intelligent Systems, ISMIS 2002, Lyon, France, June 27-29, 2002. Proceedings
Subjects: 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 > Informatics Research Group
School of Computing and Engineering > Informatics Research Group > Knowledge Engineering and Intelligent Interfaces
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Depositing User: Cherry Edmunds
Date Deposited: 05 Nov 2008 09:23
Last Modified: 16 Dec 2010 13:27
URI: http://eprints.hud.ac.uk/id/eprint/2524

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