Cultural swarms: Modeling the impact of culture on social interaction and problem solving

被引:33
作者
Iacoban, R [1 ]
Reynolds, RG [1 ]
Brewster, J [1 ]
机构
[1] Wayne State Univ, Dept Comp Sci, Detroit, MI 48202 USA
来源
PROCEEDINGS OF THE 2003 IEEE SWARM INTELLIGENCE SYMPOSIUM (SIS 03) | 2003年
关键词
D O I
10.1109/SIS.2003.1202270
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper we investigate how diverse knowledge sources interact to direct individuals in a swarm population. We identify three basic phases of problem solving that are generated by the swarm population in the solution of real valued function optimization problems. The question that we are interested in answering is how these phases derive from the interaction of various sources of cultural knowledge present in the belief space of a population. We map the central tendency of the subset of individuals that are influences by each knowledge source over time at the meta-level. The resultant patterns suggest the presence of "cultural swarms" where various knowledge sources take turns at leading and following in the exploration and exploitation of the problem space. This suggests that the social interaction of individuals coupled with their interaction with a culture within which they are embedded provides a powerful vehicle for the solution of complex problems.
引用
收藏
页码:205 / 211
页数:7
相关论文
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