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.
|Title of host publication|| Adaptive Agents and Multi-Agent Systems|
|Editors||Eduardo Alonso, Daniel Kudenko, Dimitar Kazakov|
|Place of Publication||Berlin (DE)|
|Number of pages||15|
|Publication status||Published - 13 May 2003|
|Name||Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)|