1993 | OriginalPaper | Buchkapitel
Genetic Algorithms and Classifier Systems in simulating a Cooperative behavior
verfasst von : Antonella Carbonaro, Giorgio Casadei, Aldopaolo Palareti
Erschienen in: Artificial Neural Nets and Genetic Algorithms
Verlag: Springer Vienna
Enthalten in: Professional Book Archive
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Genetic Algorithms and Classifier Systems are often used in biologic-like and evolutionary behaviors’ simulations. The basic example is Wood7 Wilson’s world. In this environment it is interesting to study some problems: Can evolve the cooperative behaviors of organisms present in the world? How and when do the behaviors evolve? Some preliminary results show the conditions under that cooperative behavior rules are developing rapidly. Particularly we have pointed out the likely of following observations: a.The cooperative behavior develops more easily if the initial population start from the same point.b.It exists some thresholds under that the cooperative behavior can’t evolve; these thresholds depend to the population size.