Adapting populations of agents

Philippe De Wilde*, Maria Chli, L. Correia, R. Ribeiro, P. Mariano, V. Abramov, J. Goossenaerts

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication


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.
Original languageEnglish
Title of host publication Adaptive Agents and Multi-Agent Systems
EditorsEduardo Alonso, Daniel Kudenko, Dimitar Kazakov
Place of PublicationBerlin (DE)
Number of pages15
ISBN (Electronic)978-3-540-44826-6
ISBN (Print)978-3-540-40068-4
Publication statusPublished - 13 May 2003

Publication series

NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
ISSN (Print)0302-9743


Dive into the research topics of 'Adapting populations of agents'. Together they form a unique fingerprint.

Cite this