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From synthetic modeling of social interaction to dynamic theories of brain-body- environment-body-brain systems

机译:从社会互动的综合建模到脑-机-环境-机-脑系统的动态理论

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摘要

Synthetic approaches to social interaction support the development of a second-person neuroscience. Agent-based models and psychological experiments can be related in a mutually informing manner. Models have the advantage of making the nonlinear brain-body-environment-body-brain system as a whole accessible to analysis by dynamical systems theory. We highlight some general principles of how social interaction can partially constitute an individual's behavior.
机译:社交互动的综合方法支持第二人称神经科学的发展。基于主体的模型和心理实验可以相互告知的方式关联。模型的优势是可以使非线性脑-身体-环境-脑-脑系统整体可以通过动力学系统理论进行分析。我们重点介绍一些一般性原则,说明社交互动如何部分构成个人行为。

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  • 来源
    《Behavioral and Brain Sciences》 |2013年第4期|420-421|共2页
  • 作者单位

    Ikegami Laboratory, Department of General Systems Studies, Graduate School of Arts and Sciences, University of Tokyo, Tokyo 153 8902, Japan,Departamento de Ciencias de la Computacidn, Instituto de Investigaciones en Matematicas Aplicadas y en Sistemas, Universidad Nacional Autdnoma de Mexico, Apdo. 20-726, 01000 Mexico D.F., Mexico;

    Department of Bioinformatic Engineering, Human Information Engineering Laboratory, Graduate School of Information Science and Technology, University of Osaka,Osaka 565-0871, Japan;

    Ikegami Laboratory, Department of General Systems Studies, Graduate School of Arts and Sciences, University of Tokyo, Tokyo 153 8902, Japan;

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  • 入库时间 2022-08-18 02:20:42

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