Evolving an ecology of two-tiered organizations

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Evolving an ecology of two-tiered organizations
Evolutionary models typically rely on a single level of evolution for training a team of cooperating agents. I present a model that evolves at two levels—an “organizational” level and the more traditional “individual” level. Each organization contains an embedded agent population that goes through a full evolutionary process every organizational time-step. The organization’s genetic code is essentially a policy that specifies the training process for its embedded agents. It also defines the creation of a representative team that is compiled after each organizational time-step. An organization’s fitness is based on the performance of this representative team. Categories and Subject Descriptors I.2.8-Problem Solving, Control Methods and Search General Terms Algorithms, Design Keywords Evolutionary computation, genetic programming, genetic algorithms, distributed artificial intelligence, teamwork
Travis Kriplean
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Authors Travis Kriplean
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