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Acquisition of Object-Centred Domain Models from Planning Examples

Cresswell, S.N., McCluskey, T.L. and West, Margaret M. (2009) Acquisition of Object-Centred Domain Models from Planning Examples. In: Proceedings of the Nineteenth International Conference on Automated Planning and Scheduling. AAAI Press, Menlo Park, California, USA, pp. 338-341. ISBN 9781577354079

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Abstract

The problem of formulating knowledge bases containing action schema is a central concern in knowledge engineering for AI Planning. This paper describes LOCM, a system which carries out the automated induction of action schema from sets of example plans. Each plan is assumed to be a sound
sequence of actions; each action in a plan is stated as a name and a list of objects that the action refers to. LOCM exploits the assumption that actions change the state of objects, and require objects to be in a certain state before they can be executed. The novelty of LOCM is that it can induce action schema without being provided with any information about predicates or initial, goal or intermediate state descriptions for the example action sequences. In this paper we describe the implemented LOCM algorithm, and analyse its performance by its application to the induction of domain models for several domains. To evaluate the algorithm, we used random action sequences from existing models of domains, as well as solutions to past IPC problems.

Item Type: Book Chapter
Additional Information: Paper presented at the 19th International Conference on Automated Planning and Scheduling, Thessaloniki, Greece, 19th - 23rd September 2009
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 > 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
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Depositing User: Thomas Mccluskey
Date Deposited: 22 Dec 2009 11:08
Last Modified: 07 Sep 2011 11:29
URI: http://eprints.hud.ac.uk/id/eprint/6646

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