Self-Organized Segregation within an Evolving Population

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  • 13 October 1998
Abstract
An evolving population, in which individual members (`agents') adapt their behaviour according to past experience, is of central importance to many disciplines. Because of their limited capabilities (`brain-size') and knowledge, agents are forced to make decisions based on inductive, rather than deductive, thinking. We show that a population of agents with similar brain-sizes will tend to self-segregate into extreme groups, irrespective of the brain-size itself. To survive longest, an agent should behave in an extreme way by either always copying or rejecting past trends in the system's history. Cautious agents perform poorly and tend to become rare.

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