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.
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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. In: Yang, Z.R., Yin, H., Everson, R.M. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2004. IDEAL 2004. Lecture Notes in Computer Science, vol 3177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28651-6_125
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DOI: https://doi.org/10.1007/978-3-540-28651-6_125
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