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Towards motivation-based plan evaluation

Coddington, A.M. and Luck, M. (2003) Towards motivation-based plan evaluation. In: Recent Advances in Artificial Intelligence: Proceedings of the Sixteenth International FLAIRS Conference, 2003-05-12 - 2003-05-14, St. Augustine, USA.

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AI planning systems tend to be disembodied and are not situated within the environment for which plans are generated, thus losing information concerning the interaction between the system and its environment. This paper argues that such information may potentially be valuable in constraining plan formulation, and presents both an agent- and domainindependent architecture that extends the classical AI planning framework to take into account context, or the interaction between an autonomous situated planning agent and its environment. The paper describes how context constrains the goals an agent might generate, enables those goals to be prioritised, and constrains plan selection.

Item type: Conference or Workshop Item (Paper)
ID code: 1929
Keywords: AI planning systems, planning technology, plan selection, Electronic computers. Computer science
Subjects: Science > Mathematics > Electronic computers. Computer science
Department: Faculty of Science > Computer and Information Sciences
Related URLs:
Depositing user: Strathprints Administrator
Date Deposited: 27 Oct 2006
Last modified: 04 Oct 2012 17:01

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