BibTeX
@MISC{Y_diversitydynamics,
author = {Mark A. Bedau Y and Matt Giger and Martin Zwick},
title = {Diversity Dynamics in Static Resource Models},
year = {}
}
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Abstract
We de ne three information-theoretic methods for measuring genetic diversity and compare the dynamics of these measures in simple evolutionary models consisting of a population of agents living, reproducing, and dying while competing for resources. The models are \static resource models, " i.e., the distribution of resources is constant for all time. Simulation of these models shows that (i) focusing the diversity measures on used alleles and loci especially highlights the adaptive dynamics of diversity, and (ii) even though resources are static, the evolving interactions among the agents makes the e ectiveenvironment for evolution dynamic. 1. Adaptation as Cause and E ect of Diversity Dynamics The evolutionary adaptation of a population to its environment can take a range of forms. At one extreme, the environment is static and the agents have a xed evolutionary learning task, so evolution approaches a stable equilibrium. At the other extreme, the agents ' evolution fundamentally changes the environment in such away that new evolutionary learning tasks are continually created, thus making adaptive essentially open-ended. To build a baseline for future work on open-ended evolution, here we study
Keyphrases
static resource model diversity dynamic open-ended evolution new evolutionary learning task information-theoretic method adaptive dynamic genetic diversity evolution approach simple evolutionary model future work stable equilibrium evolution dynamic evolving interaction xed evolutionary learning task evolutionary adaptation
