Directed evolution of communication and cooperation in digital organisms

被引:0
|
作者
Knoester, David B. [1 ]
McKinley, Philip K. [1 ]
Beckmann, Benjamin [1 ]
Ofria, Charles [1 ]
机构
[1] Michigan State Univ, Dept Comp Sci & Engn, E Lansing, MI 48824 USA
来源
基金
美国国家科学基金会;
关键词
digital evolution; communication; cooperative behavior; natural selection; mutation; autonomic computing; biologically-inspired computing;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes a study in the use of digital evolution to produce cooperative communication behavior in a population of digital organisms. The results demonstrate that digital evolution can produce organisms capable of distributed problem solving through interactions between members of the population and their environment. Specifically, the organisms cooperate to distribute among the population the largest value sensed from the environment. These digital organisms have no "built-in" ability to perform this task; each population begins with a single organism that has only the ability to self-replicate. Over thousands of generations, random mutations and natural selection produce an instruction sequence that realizes this behavior, despite continuous turnover in the population.
引用
收藏
页码:384 / +
页数:3
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