Download Advances in Computational Intelligence: IEEE World Congress by Piero P. Bonissone (auth.), Jing Liu, Cesare Alippi, PDF

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

This cutting-edge survey bargains a renewed and fresh specialize in the development in evolutionary computation, in neural networks, and in fuzzy structures. The publication offers the services and reviews of prime 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 group not just as a survey and a reference, but in addition as an suggestion for the long run development of the state-of-the-art of the sector. The thirteen chosen chapters originate from lectures and shows 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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Extra info 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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Black squares along the diagonal represent matches that were not played, blue squares indicate a win by the column team, and red squares indicate a win by the row team. One group of near-duplicate teams was submitted to the tournament; this shows up as the band of similar-colored games about one-third of the way through the matrix. The teams in the Figure are enumerated on both axes in order of increasing average match score differential. 40 R. Miikkulainen et al. Table 1. pop 130 lolwutamidoing 126 me - Rambo 126 PollusPirata 125 Cyber-trout 124 CirclingBullies 123 SneakySnipers 121 Tut 121 coward1 120 Table 1 shows the top ten teams.

Similarly, adding communication to predators with individual fitness in Experiment 3 results in the predators easily evolving to cooperate, leading to more prey captures (Figure 2). e. how easy it is to establish cooperation, and how worthwhile it is. Experiments 5 and 6 were designed to answer the question: If there are both gazelles, which can be caught easily but give a lower fitness, and zebras, which need all the predators to cooperate to catch them but give higher fitness, which one is preferred?

When fitness rewards from prey capture are shared, all the predators gain fitness even when only one of them actually catches the prey. In cases with individual fitness, only the particular predator that captures the prey gets the reward. 75 times the speed of the predator and a larger prey (zebra) that has the same speed as the predator. The prey behaviors in these experiments are hard-coded and do not evolve. Each prey simply moves directly away from the current nearest predator. The predators can therefore catch the smaller prey individually, but cannot catch the larger prey by just following the prey around, because their grid world is toroidal.

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