Environmental Influence on the Evolution of Morphological Complexity in Machines

被引:94
作者
Auerbach, Joshua E. [1 ]
Bongard, Josh C. [2 ]
机构
[1] Ecole Polytech Fed Lausanne, Lab Intelligent Syst, CH-1015 Lausanne, Switzerland
[2] Univ Vermont, Dept Comp Sci, Burlington, VT USA
基金
美国国家科学基金会;
关键词
DIVERSITY; ALGORITHM; ROBOTICS; NETWORKS;
D O I
10.1371/journal.pcbi.1003399
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Whether, when, how, and why increased complexity evolves in biological populations is a longstanding open question. In this work we combine a recently developed method for evolving virtual organisms with an information-theoretic metric of morphological complexity in order to investigate how the complexity of morphologies, which are evolved for locomotion, varies across different environments. We first demonstrate that selection for locomotion results in the evolution of organisms with morphologies that increase in complexity over evolutionary time beyond what would be expected due to random chance. This provides evidence that the increase in complexity observed is a result of a driven rather than a passive trend. In subsequent experiments we demonstrate that morphologies having greater complexity evolve in complex environments, when compared to a simple environment when a cost of complexity is imposed. This suggests that in some niches, evolution may act to complexify the body plans of organisms while in other niches selection favors simpler body plans.
引用
收藏
页数:17
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