Commitment management through constraint reification

Chalmers, Stuart, Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057, Norman, Timothy J. and Gray, Peter M. D. 2004. Commitment management through constraint reification. Presented at: Third International Joint Conference on Autonomous Agents and Multiagent Systems ( AAMAS 2004 ), New York City, NY, USA, 19-23 July 2004. Published in: Jennings, Nicholas R., Sierra, Carles, Sonenberg, Liz and Tambe, Milind eds. Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems : AAMAS 2004 : New York City, New York, USA : July 19-23, 2004. Los Alamitos, CA: IEEE Computer Society, pp. 430-437.

Full text not available from this repository.

Abstract

In a virtual organisation (VO), a group of cooperating agents may offer resources (or services) consisting of all, or part, of the sum of their individual contributions. Some of these resources may already be in use for certain time periods (existing commitments), and these existing commitments may vary in value to the VO. Using constraint reification and cumulative scheduling methods, we investigate ways in which agents may manage their resources and existing commitments when faced with a decision to take on new commitments. We describe a technique that allows an agent to intelligently construct satisfiable permutations consisting of existing and new commitments, and use preference and quality information to choose between these permutations. We show how constraint reification is used to model whether commitments are breakable/re-negotiable and how this influences the permutations available to the agents.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher:	IEEE Computer Society
ISBN:	9781581138641
Related URLs:	Organisation
Last Modified:	24 Oct 2022 10:26
URI:	https://orca.cardiff.ac.uk/id/eprint/44413

Citation Data

Cited 9 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item