The emergence of social learning in artificial societies

被引：0
|
作者：
Annunziato, M [1 ]
Pierucci, P [1 ]
机构：
[1] Plancton, I-00153 Rome, Italy
来源：
APPLICATIONS OF EVOLUTIONARY COMPUTING | 2003年 / 2611卷
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The most recent advances of artificial life research are opening up a new frontier: the creation of simulated life environments populated by autonomous agents. In several cases a new paradigm for learning is emerging: social learning as a form of self-organization of many individual learning. In this paper two different approaches are presented and discussed: genetic competition and partial emulation. Finally an example of application of these concepts.
引用
收藏
页码：467 / 478
页数：12
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