Multi-scale resolution of neural, cognitive and social systems
Multi-scale resolution of neural, cognitive and social systems
复制标题
神经、认知和社会系统的多尺度分辨率
DOI：
10.1007/s10588-018-09291-0
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发表时间：
2019
影响因子：
1.8
通讯作者：
W. Kennedy
中科院分区：
文献类型：
--
作者：
M. Orr;C. Lebiere;Andrea Stocco;P. Pirolli;Bianica Pires;W. Kennedy
我们最近提出了一个论文，决议论文，这表明认知科学和生成社会科学是相互依存的，因此应该是相互信息。本文引用了一个范式，互惠约束范式，旨在利用社会和认知水平的规模之间的相互依存关系，以建立更好的分辨率认知和社会模拟的目的。我们在这里回顾我们的论文，提供当前的研究背景，解决一系列问题的论文，并提供一些离别的想法，以引发讨论。我们认为这项工作是激励社会科学和认知科学朝着新方向发展的第一步，这一方向代表了目标的统一，理论和方法的相互依赖，并呼吁认真发展理解人类社会系统的新方法。
We recently put forth a thesis, the Resolution Thesis, that suggests that cognitive science and generative social science are interdependent and should thus be mutually informative. The thesis invokes a paradigm, the reciprocal constraints paradigm, that was designed to leverage the interdependence between the social and cognitive levels of scale for the purpose of building cognitive and social simulations with better resolution. We review our thesis here, provide the current research context, address a set of issues with the thesis, and provide some parting thoughts to provoke discussion. We see this work as an initial step to motivate both social and cognitive sciences in a new direction, one that represents unity of purpose, an interdependence of theory and methods, and a call for the careful development of new approaches for understanding human social systems, broadly construed.
影响因子：
5.4
作者：
Stocco, Andrea;Lebiere, Christian;Anderson, John R.
通讯作者：
Anderson, John R.