Adapting populations of agents

de Wilde, Phillipe, Chli, Maria, Correia, L., Ribeiro, R., Mariano, P., Abramov, V. and Goossenaerts, J. (2003). Adapting populations of agents. IN: Adaptive agents and multi-agent systems. Alonso, Eduardo; Kudenko, Daniel and Kazakov, Dimitar (eds) Lecture Notes in Computer Science . Berlin (DE): Springer.

Abstract

We control a population of interacting software agents. The agents have a strategy, and receive a payoff for executing that strategy. Unsuccessful agents become extinct. We investigate the repercussions of maintaining a diversity of agents. There is often no economic rationale for this. If maintaining diversity is to be successful, i.e. without lowering too much the payoff for the non-endangered strategies, it has to go on forever, because the non-endangered strategies still get a good payoff, so that they continue to thrive, and continue to endanger the endangered strategies. This is not sustainable if the number of endangered ones is of the same order as the number of non-endangered ones. We also discuss niches, islands. Finally, we combine learning as adaptation of individual agents with learning via selection in a population.

Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Computer science research group
Additional Information: Copyright 2008 Elsevier B.V., All rights reserved.
Full Text Link: http://www.scopus.com/inward/record.url?scp=23144462162&partnerID=8YFLogxK
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Published Date: 2003
Authors: de Wilde, Phillipe
Chli, Maria
Correia, L.
Ribeiro, R.
Mariano, P.
Abramov, V.
Goossenaerts, J.

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