by Jonathan Gabbai on October 15, 2005
Abstract. We begin by describing the importance of emergence in industry and the need, in certain situations, to move away from a reduction mind-set to a more holist approach. We define the term emergence in context of self-organizing systems, autopoiesis and chaotic systems. We then examine a field that is commonly used to explore emergence and selforganization, namely agent and multi-agent systems. After an overview of this field, we highlight the most appropriate aspects of agent research used in aiding the understanding of emergence. We conclude with an example of our recent research where we measure agent emergent performance and flexibility and relate it to the make-up of the agent organization.
Citation. Gabbai, J. M. E., Yin, H., Wright, W. A., and Allinson, N. M., “Self-Organization, Emergence and Multi-Agent Systems,” in IEEE International Conference on Neural Networks and Brain, Wang, S., et al., Eds. Berlin: Springer Verlag Heidelberg, Beijing, China: IEEE, 2005, pp. TBC.
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by Jonathan Gabbai on August 26, 2004
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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