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.)

This state of the art survey bargains a renewed and clean specialize in the growth in evolutionary computation, in neural networks, and in fuzzy platforms. The ebook provides the services and reports of best researchers spanning a various spectrum of computational intelligence in those parts. the result's a balanced contribution to the examine quarter of computational intelligence that are meant to serve the neighborhood not just as a survey and a reference, but in addition as an idea 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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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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Liu et al. ): WCCI 2012 Plenary/Invited Lectures, LNCS 7311, pp. 24–46, 2012. c Springer-Verlag Berlin Heidelberg 2012 Multiagent Learning through Neuroevolution 25 in three of them: Setting up evolution so that effective collaboration emerges, combining evolution with learning within the team, and evaluating the team behaviors quantitatively. First, how should evolution be set up to promote effective team behaviors. That is, when the team is successful, should the rewards be distributed among team members equally, or should individuals be rewarded for their own performance?

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IEEE Transactions on Systems, Man, and Cybernetics–Part B 26(1), 29–41 (1996) 10. : Egalitarianism and Machiavellian intelligence in human evolution. McDonald Institute for Archaeological Research (1996) 11. : Neuroevolution: From architectures to learning. Evolutionary Intelligence 1, 47–62 (2008) 12. : Evolutionary robots with on-line self-organization and behavioral fitness. Neural Networks 13, 431–4434 (2000) 13. : Blondie24: Playing at the Edge of AI. Morgan Kaufmann, San Francisco (2001) 14.

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