Evolutionary learning in complex social system

复杂社会系统中的进化学习

• 批准号: 327482-2009
• 负责人: Kobti, Ziad
• 金额: $ 1.38万
• 依托单位: University of Windsor
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2013
• 资助国家: 加拿大
• 起止时间: 2013-01-01 至 2014-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=526976
• 关键词: Evolutionary; learning; complex; social; system

Complex systems and agent-based modeling are attracting a growing interest from experts from various disciplines to simulate and study real world applications. The implications are of significance because they broaden our understanding of little known complex social phenomena, including reasoning about the causes of

复杂系统和基于Agent的建模方法正吸引着来自不同学科的专家越来越多的兴趣来模拟和研究真实的世界应用。这些暗示意义重大，因为它们拓宽了我们对鲜为人知的复杂社会现象的理解，包括对社会现象的原因的推理。