Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

CONOISE: Agent-based formation of virtual organisations

Norman, T. J., Preece, Alun David, Chalmers, S., Jennings, N. R., Luck, M., Dang, V. D., Nguyen, T. D., Deora, Vikas, Shao, Jianhua, Gray, A. and Fiddian, Nicholas John 2004. CONOISE: Agent-based formation of virtual organisations. Presented at: 23rd SGAI International Conference on Innovative Techniques and Applications of AI (AI-2003), Cambridge, UK, 15-17 December 2003. Published in: Coenen, Frans, Preece, Alun David and Macintosh, Ann eds. Research and Development in Intelligent Systems XX : Proceedings of AI2003, the Twenty-Third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence /. BCS Conference Series London: Springer, pp. 353-366.

Full text not available from this repository.

Abstract

Virtual organisations (VOs) are composed of a number of individuals, de- partments or organisations each of which has a range of capabilities and resources at their disposal. These VOs are formed so that resources may be pooled and services combined with a view to the exploitation of a per- ceived market niche. However, in the modern commercial environment it is essential to respond rapidly to changes in the market to remain com- petitive. Thus, there is a need for robust, exible systems to support the process of VO management. Within the CONOISE (www.conoise.org) project, agent-based models and techniques are being developed for the automated formation and maintenance of virtual organisations. In this paper we focus on a critical element of VO management: how an eective VO may be formed rapidly for a specied purpose.

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: Springer
ISBN: 185233780X
Last Modified: 04 Jun 2017 04:43
URI: http://orca-mwe.cf.ac.uk/id/eprint/43574

Citation Data

Cited 61 times in Google Scholar. View in Google Scholar

Actions (repository staff only)

Edit Item Edit Item