Evolution to the Edge of Chaos in Imitation Game
adap-org
2008-06-25 v2 Adaptation and Self-Organizing Systems
Populations and Evolution
Abstract
Motivated by the evolution of complex bird songs, an abstract imitation game is proposed to study the increase of dynamical complexity: Artificial "birds" display a "song" time series to each other, and those that imitate the other's song better win the game. With the introduction of population dynamics according to the score of the game and the mutation of parameters for the song dynamics, the dynamics is found to evolve towards the borderline between chaos and a periodic window, after punctuated equilibria. The importance of edge of chaos with topological chaos for complexity is stressed.
Cite
@article{arxiv.adap-org/9303002,
title = {Evolution to the Edge of Chaos in Imitation Game},
author = {Kunihiko Kaneko and Junji Suzuki},
journal= {arXiv preprint arXiv:adap-org/9303002},
year = {2008}
}
Comments
CYCLER Paper 93mar006. 8 pages, LaTex. (3.28 revised for minor LaTeX changes)