Titlebook: Applications of Evolutionary Computation; EvoApplications 2010 Cecilia Chio,Stefano Cagnoni,Georgios N. Yannakaki Conference proceedings 20

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Brie Williams,Cyrus Ahalt,Louise Aronsonds different equilibria in a fuzzy manner. Several classes of equilibria (Nash, Pareto, Nash-Pareto) are defined by using appropriate generative relations. An evolutionary technique for detecting fuzzy equilibria is considered. Experimental results on Cournot’ duopoly game illustrate evolutionary detection of proposed fuzzy equilibria.

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Rolf Loeber,David P. Farringtonboth constraints and optimization goals for potential level designs. We develop a genetic encoding technique specific to level design, which proves to be extremely flexible. Example levels are generated for two different genres of game, demonstrating the system’s broad applicability.

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