Visualisation of Multi Agent System Organisations using a Self-Organising Map of Pareto Solutions

Abstract. The structure and performance of organisations – natural or man-made – are intricately linked, and these multifaceted interactions are increas-ingly 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, from 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.

Citation. Gabbai, J. M. E., Wright, W. A., and Allinson, N. M., “Visualisation of Multi- Agent System Organisations using a Self-Organising Map of Pareto Solutions,” in Intelligent Data Engineering and Automated Learning (IDEAL 04), Lecture Notes in Computer Science, Yang, Z. R., et al., Eds. Exeter, UK: Springer, 2004, pp. 841-847.

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