Adapting populations of agents

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

doi:10.1007/3-540-44826-8_7

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 output › Conference publication

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.

Original language	English
Title of host publication	Adaptive Agents and Multi-Agent Systems
Editors	Eduardo Alonso, Daniel Kudenko, Dimitar Kazakov
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	110-124
Number of pages	15
Volume	2636
ISBN (Electronic)	978-3-540-44826-6
ISBN (Print)	978-3-540-40068-4
DOIs	https://doi.org/10.1007/3-540-44826-8_7
Publication status	Published - 13 May 2003

Publication series

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

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10.1007/3-540-44826-8_7

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De Wilde, P., Chli, M., Correia, L., Ribeiro, R., Mariano, P., Abramov, V., & Goossenaerts, J. (2003). Adapting populations of agents. In E. Alonso, D. Kudenko, & D. Kazakov (Eds.), Adaptive Agents and Multi-Agent Systems (Vol. 2636, pp. 110-124). (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)). Springer. https://doi.org/10.1007/3-540-44826-8_7

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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.",

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De Wilde, P, Chli, M, Correia, L, Ribeiro, R, Mariano, P, Abramov, V & Goossenaerts, J 2003, Adapting populations of agents. in E Alonso, D Kudenko & D Kazakov (eds), Adaptive Agents and Multi-Agent Systems. vol. 2636, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), Springer, Berlin (DE), pp. 110-124. https://doi.org/10.1007/3-540-44826-8_7

Adapting populations of agents. / De Wilde, Philippe; Chli, Maria; Correia, L. et al.
Adaptive Agents and Multi-Agent Systems. ed. / Eduardo Alonso; Daniel Kudenko; Dimitar Kazakov. Vol. 2636 Berlin (DE): Springer, 2003. p. 110-124 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)).

Research output: Chapter in Book/Published conference output › Conference publication

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AU - De Wilde, Philippe

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AU - Goossenaerts, J.

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N2 - 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.

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Adapting populations of agents

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