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

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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.

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Gabbai, J. M. E., Wright, W. A., & Allinson, N. M. (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, 841–847. https://doi.org/10.1007/978-3-540-28651-6_125

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