Journal Publications

Adapting Populations of Agents.
P. De Wilde, M. Chli, L. Correia, R. Ribeiro, P. Mariano, V. Abramov, J. Goossenaerts, In E. Alonso, D. Kudenko and D. Kazakov editors, Lecture Notes in Artificial Intelligence 2636, pages 110-124. Springer, Berlin, 2003.


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.