Coddington, A.M. and Luck, M. (2004) A motivation-based planning and execution framework. International Journal on Artificial Intelligence Tools, 13 (1). pp. 5-25. ISSN 0218-2130
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
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 domain-independent 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: | Article |
|---|---|
| ID code: | 1928 |
| Keywords: | AI planning, agent architectures, motivations, plan evaluation, 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 11:49 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/1928 |
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