A Tool Supported Structured Method for Planning Domain Acquisition

R. M. Simpson, T. L. McCluskey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Knowledge engineering inAI 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 ofAI 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.

Original languageEnglish
Title of host publicationFoundations of Intelligent Systems
Subtitle of host publication13th International Symposium, ISMIS 2002, Lyon, France, June 27-29, 2002. Proceedings
EditorsMohand-Saïd Hacid, Zbigniew W. Raś, Djamel A. Zighed, Yves Kodratoff
PublisherSpringer-Verlag Berlin Heidelberg
Number of pages9
VolumeLNCS 2366
ISBN (Electronic)9783540480501
ISBN (Print)3540437851, 9783540437857
Publication statusPublished - 2002
Event13th International Symposium on Methodologies for Intelligent Systems - Lyon, France
Duration: 27 Jun 200229 Jun 2002
Conference number: 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer-Verlag Berlin Heidelberg
VolumeLNAI 2366
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference13th International Symposium on Methodologies for Intelligent Systems
Abbreviated titleISMIS 2002


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