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

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 deals a renewed and fresh specialise in the growth in evolutionary computation, in neural networks, and in fuzzy platforms. The e-book offers the services and studies of top researchers spanning a various spectrum of computational intelligence in those components. the result's a balanced contribution to the examine sector of computational intelligence that are meant to serve the group not just as a survey and a reference, but in addition as an notion for the long run development of the cutting-edge of the sector. The thirteen chosen chapters originate from lectures and displays given on the IEEE global Congress on Computational Intelligence, WCCI 2012, held in Brisbane, Australia, in June 2012.

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Extra 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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Nature 323(6088), 533–536 (1986) 35. : Evolving agent behavior in multiobjective domains using fitness-based shaping. In: Proceedings of the Genetic and Evolutionary Computation Conference (2010) 36. : Evolving multimodal networks for multitask games. In: Proceedings of the IEEE Conference on Computational Intelligence and Games (CIG 2011), pp. 102–109. IEEE, Seoul (2011) 37. : A density-dependent diffusion model of shoaling of nesting fish. Ecol. Modell. 51, 217–226 (1990) 38. : The baldwin effect.

The third set of experiments uses both the simple world and a second, more complex world to evaluate performance. The “complex” world has a surface of 500 by 500 units, with five different plant types of value -100, -50, 0, 50, and 100. For each plant type, 20 instances are created and randomly distributed across the surface. This world presents the agents with a more difficult task as they must efficiently gather nutritious food while simultaneously avoiding the poisonous food. In all four experiments, 100 different agents are created in each generation.

Hierarchy in the forest: The evolution of egalitarian behavior. Harvard Univ. Pr. (2001) 5. : Machiavellian Intelligence: Social Expertise and the Evolution of Intellect in Monkeys, Apes, and Humans. Oxford University Press, USA (1989) 6. : Collective behavior of interacting self-propelled particles. Physica A 281, 17–29 (2000) 7. : Incremental social learning in particle swarms. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 41(2), 368–384 (2011) 8. : Cultural evolution in a population of neural networks.

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