The simulated evolution of biochemical guilds: Reconciling Gaia theory and natural selection

被引:37
作者
Downing, K [1 ]
Zvirinsky, P
机构
[1] Norwegian Univ Sci & Technol, Dept Comp & Informat Sci, N-7034 Trondheim, Norway
[2] Tech Univ Kosice, Dept Cybernet & Artificial Intelligence, Kosice 04120, Slovakia
关键词
Gaia theory; emergence; genetic algorithms; artificial life; geophysiology;
D O I
10.1162/106454699568791
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Gaia theory, which states that organisms both affect and regulate their environment, poses an interesting problem to Neo-Darwinian evolutionary biologists and provides an exciting set of phenomena for artificial-life investigation. The key challenge is to explain the emergence of biotic communities that are capable, via their implicit coordination, of regulating large-scale biogeochemical factors such as the temperature and chemical composition of the biosphere, but to assume no evolutionary mechanisms beyond contemporary natural selection. Along with providing an introduction to Gaia. theory, this article presents simulations of Gaian emergence based on an artificial-lift model in involving genetic algorithms and guilds of simple metabolizing agents. In these simulations, resource competition leads to guild diversity; the ensemble of guilds then manifests life-sustaining nutrient recycling and exerts distributed control over environmental nutrient ratios. These results illustrate that standard individual-based natural selection is sufficient to explain Gaian self-organization, and they help clarify rile relationships between two key metrics of Gaian activity: recycling and regulation.
引用
收藏
页码:291 / 318
页数:28
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