Download e-book for iPad: Advances in Computational Intelligence: IEEE World Congress by Piero P. Bonissone (auth.), Jing Liu, Cesare Alippi,

By Piero P. Bonissone (auth.), Jing Liu, Cesare Alippi, Bernadette Bouchon-Meunier, Garrison W. Greenwood, Hussein A. Abbass (eds.)

ISBN-10: 3642306861

ISBN-13: 9783642306860

This cutting-edge survey bargains a renewed and clean specialize in the development in evolutionary computation, in neural networks, and in fuzzy structures. The ebook offers the services and stories of top researchers spanning a various spectrum of computational intelligence in those parts. the result's a balanced contribution to the study zone of computational intelligence that are supposed to serve the neighborhood not just as a survey and a reference, but additionally as an proposal for the long run development of the cutting-edge of the sphere. The thirteen chosen chapters originate from lectures and displays given on the IEEE international Congress on Computational Intelligence, WCCI 2012, held in Brisbane, Australia, in June 2012.

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Read Online or Download Advances in Computational Intelligence: IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012. Plenary/Invited Lectures PDF

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Advances in Computational Intelligence: IEEE World Congress - download pdf or read online

This state of the art survey bargains a renewed and fresh concentrate on the growth in evolutionary computation, in neural networks, and in fuzzy structures. The publication offers the services and reports of best researchers spanning a various spectrum of computational intelligence in those components. the result's a balanced contribution to the study region of computational intelligence that are supposed to serve the neighborhood not just as a survey and a reference, but additionally as an suggestion for the longer term development of the state-of-the-art of the sector.

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Additional resources for Advances in Computational Intelligence: IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012. Plenary/Invited Lectures

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5. Monocultural agents learning from the entire population and subcultural agents learning only from their subcultures. Subcultural agents outperform monocultural agents, converging to a much higher ultimate fitness. The system utilizes a steady-state evolution in which at every timestep each agent probabilistically teaches the lowest-fitness member of the population within some radius, effectively forming geographical subcultures. Figures 6 and 7 show the results of the subcultural ESL algorithm compared to the student-teacher variant of NEW TIES and simple neuroevolution.

This behavior likely originated from a difficulty in acquiring sufficient data during training, and from a difficulty in approximating the value function for the task, resulting in agents that effectively chose random actions at each time step. However, sometimes this behavior was seen in rtNEAT teams as well, and it was at times surprisingly effective. When other teams approached the cluster, they were not always lined up to shoot—on the other hand, because of the Brownian motion, the shots were not always on target either.

118–124 (2006) 26. : Forming neural networks through efficient and adaptive coevolution. Evolutionary Computation 5(4), 373–399 (1997) 27. : Five rules for the evolution of cooperation. Science 314, 1560–1563 (2006) 28. : Cultural evolution in neural networks. IEEE Expert 12(4), 9–14 (1997) 29. : Effects of Group Composition and Level of Selection in the Evolution of Cooperation in Artificial Ants. T. ) ECAL 2003. LNCS (LNAI), vol. 2801, pp. 128–137. Springer, Heidelberg (2003) 30. : Constructing competitive and cooperative agent behavior using coevolution.

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Advances in Computational Intelligence: IEEE World Congress on Computational Intelligence, WCCI 2012, Brisbane, Australia, June 10-15, 2012. Plenary/Invited Lectures by Piero P. Bonissone (auth.), Jing Liu, Cesare Alippi, Bernadette Bouchon-Meunier, Garrison W. Greenwood, Hussein A. Abbass (eds.)


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