首页> 美国卫生研究院文献>Proceedings of the National Academy of Sciences of the United States of America >Colloquium PaperAdaptive Agents Intelligence and Emergent Human Organization: Capturing Complexity through Agent-Based Modeling: Computational organization science: A new frontier
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Colloquium PaperAdaptive Agents Intelligence and Emergent Human Organization: Capturing Complexity through Agent-Based Modeling: Computational organization science: A new frontier

机译:座谈会论文自适应代理情报和新兴人类组织:通过基于代理的建模捕获复杂性:计算组织科学:新领域

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摘要

Synthetic adaptation is the process whereby any entity composed of intelligent, adaptive, and computational agents is also an intelligent, adaptive, and computational agent. Because of synthetic adaptation, organizations, like the agents of which they are composed, are inherently computational. We can gain insight into the behavior of groups, organizations, and societies by using multiagent computational models composed of collections of intelligent adaptive artificial agents. CONSTRUCT-O and ORGAHEAD are examples of such models whose value for social, organizational, and policy analysis lies in the fact that they combine a network (social and knowledge approach) with a multiagent approach to effect more realistic behavior. The results from a series of virtual experiments using these models are examined to illustrate the power of this approach for social, organizational, and policy analysis.
机译:合成适应是一个过程,在该过程中,由智能,自适应和计算代理组成的任何实体也是智能,自适应和计算代理。由于具有综合适应性,因此组织(就像组成它们的代理一样)本质上是计算的。通过使用由智能自适应人工代理集合组成的多代理计算模型,我们可以深入了解群体,组织和社会的行为。 CONSTRUCT-O和ORGAHEAD是此类模型的示例,其对社会,组织和政策分析的价值在于,它们结合了网络(社会和知识方法)和多主体方法来实现更现实的行为。考察了使用这些模型进行的一系列虚拟实验的结果,以说明此方法对社会,组织和政策分析的作用。

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