Titlebook: Collectives and the Design of Complex Systems; Kagan Tumer,David Wolpert Book 2004 Springer Science+Business Media New York 2004 algorithm

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Michael A. Terry,David W. Altchekh large internal changes arise as macroscopic manifestations of the microscopic dynamics, and their presence can be regarded as one of the defining features of an evolving complex system. We consider the specific case of a multiagent system related to the El Farol Bar model and show explicitly how t

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Yi?it Umur C?rd?,Selim Ergün,Mustafa Karahanneous agents. There is no presumption that collective action of interacting agents leads to collectively satisfactory results without any central authority. How well agents do in adapting to their environment is not the same thing as how satisfactory an environment they collectively create. Agents n

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Anesthesia in Shoulder Arthroscopycollectively give rise to a desired world state. In this chapter we examine several selection and fitnesssharing methods used in coevolution and consider their operation with respect to the inverse problem. The methods we test are truncation and linear-rank selection and competitive and similarity-b

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Recurrent Anterior Shoulder Instabilitye fact that the agents and programs have incomplete knowledge and imperfect information on the state of the system. We describe an instantiation of such systems based on market mechanisms, which provides an interesting example of autonomous control. We also show that when agents choose among several