Evolutionary Computation Using Interaction among Genetic Evolution, Individual Learning and Social Learning

被引：0

作者：

Hashimoto, Takashi ^{[1
]}

Warashina, Katsuhide ^{[1
]}

机构：

[1] JAIST, Sch Knowledge Sci, Nomi, Ishikawa 9231292, Japan

来源：

PRICAI 2008: TRENDS IN ARTIFICIAL INTELLIGENCE | 2008年 / 5351卷

关键词：

Evolutionary computation; Genetic evolution; Individual learning; Social learning; NK fitness landscape;

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 studies the characteristics of interaction among genetic evolution, individual learning and social learning using an evolutionary computation system with NK fitness landscape, both under static and dynamic environments. We show conditions for effective social learning: at least 1.5 times lighter cost of social learning than that of individual learning, beneficial teaching action, low epistasis and dynamic environment.

引用

页码：152 / 163

页数：12

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