Visualisation of multi-agent system organisations using a self-organising map of Pareto solutions

Gabbai, J. M. E. and Wright, W. A. and Allinson, Nigel (2004) Visualisation of multi-agent system organisations using a self-organising map of Pareto solutions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3177 . pp. 841-847. ISSN 0302-9743

Full content URL: http://link.springer.com/chapter/10.1007%2F978-3-5...

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Item Type:Article
Item Status:Live Archive

Abstract

The structure and performance of organisations - natural or man-made - are intricately linked, and these multifaceted interactions are increasingly being investigated using Multi Agent System concepts. This paper shows how a selection of generic structural metrics for organisations can be explored using a combination of Pareto Frontier exemplars; extensive simulations of simple goal-orientated Multi Agent Systems, and exposé of organisational types through Self-Organising Map clusters can provide insights into desirable structures for such objectives as robustness and efficiency. © Springer-Verlag Berlin Heidelberg 2004.

Keywords:Self organizing maps, Multi agent systems, Pareto
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
Divisions:College of Science > School of Computer Science
ID Code:8564
Deposited On:26 Apr 2013 09:10

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