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 ORCID:, Chalmers, S., Jennings, N. R., Luck, M., Dang, V. D., Nguyen, T. D., Deora, Vikas, Shao, Jianhua ORCID:, 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.


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 ( 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: 24 Oct 2022 10:15

Citation Data

Actions (repository staff only)

Edit Item Edit Item