作者: C.K. Hemelrijk
DOI: 10.1016/B0-08-043076-7/03110-7
关键词: Simple (philosophy) 、 Population 、 Set (psychology) 、 Relation (database) 、 Artificial intelligence 、 Cognitive science 、 Engineering 、 Social structure
摘要: Patterns of emergent social behavior refer to patterns that arise automatically without relevant specifications being in-built in the individual. Under what conditions such may emerge, and kinds they are, is unpredictable, but can be learned from ‘bottom-up’ models. Models for this purpose use a so-called ‘process-oriented’ approach which an artificial system constructed agents are equipped with behavioral rules mechanisms. While these interact their environment other agents, studied same way as ethological studies. Results show simple generate complex structures, set lead different patterns, depending on past experiences individuals, demography population, or distribution food. Such studies were, course, made possible by development computers, have led new modeling techniques. In article, major issues characteristics models exemplified. Their relation views evolution general usage discussed.