Read e-book online Applications of Complex Adaptive Systems PDF

By Yin Shan, Ang Yang

ISBN-10: 1599049627

ISBN-13: 9781599049625

ISBN-10: 1599049635

ISBN-13: 9781599049632

Книга functions of complicated Adaptive platforms purposes of advanced Adaptive SystemsКниги English литература Автор: Yin Shan, Ang Yang Год издания: 2008 Формат: pdf Издат.:IGI Publishing Страниц: 352 Размер: three ISBN: 1599049627 Язык: Английский0 (голосов: zero) Оценка:The universe is an enormous process of platforms -- for instance, ecological platforms, social platforms, commodity and inventory markets. those structures are advanced, consistently adapting to their setting, and plenty of are necessary to the very life of people. to totally comprehend those structures, complicated adaptive structures study makes use of systemic inquiry to construct multi-level and multidisciplinary representations of fact to review those structures. functions of advanced Adaptive platforms presents an international view of the main updated examine at the suggestions, purposes, perform, and implications of advanced adaptive platforms, to raised comprehend some of the serious structures that encompass human lifestyles. Researchers operating within the box of advanced adaptive structures and comparable fields comparable to desktop studying and synthetic intelligence, multi-agent platforms, and information mining, in addition to pros in similar purposes comparable to security, bioinformatics, and sociology will locate this e-book an vital, cutting-edge reference.

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A strategy for win-stay, lose-shift that outperforms tit-for-tat in the prisoner’s dilemma game. Nature, 364, 56-58. , & Svendsen, G. T. (2002). Missing social capital and the transition in Eastern Europe. Journal of Institutional Innovation, Development and Transition, 5, 21-34. , & Goebel, R. (1998). Computational intelligence-A logical approach. New York: Oxford University Press. Poundstone, W. (1992). Prisoner’s dilemma. New York: Doubleday. Rosser, J. B. (1999). On the complexities of complex economic dynamics.

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Market Competition Simulation In this section, we present our simulation experiments with our economy model to examine the performance of the eight selected strategies dynamically in order to determine the winning strategy in a market competition. Each agent is allowed to trade freely with any other agents over n generations with the aim to achieve maximum profit. An agent excels above other agents when it acquires a higher profit. We monitor the interactions among firms throughout the trading process and compare the total profits made by all the firms to eventually determine the most profitable strategy within the simulated market.

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Applications of Complex Adaptive Systems by Yin Shan, Ang Yang

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