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Multi-scale resolution of neural, cognitive and social systems

Author

Listed:
  • Mark G. Orr

    (University of Virginia)

  • Christian Lebiere

    (Carnegie Mellon University)

  • Andrea Stocco

    (University of Washington)

  • Peter Pirolli

    (Institute for Human and Machine Cognition)

  • Bianica Pires

    (Virginia Tech)

  • William G. Kennedy

    (George Mason University)

Abstract

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.

Suggested Citation

  • Mark G. Orr & Christian Lebiere & Andrea Stocco & Peter Pirolli & Bianica Pires & William G. Kennedy, 2019. "Multi-scale resolution of neural, cognitive and social systems," Computational and Mathematical Organization Theory, Springer, vol. 25(1), pages 4-23, March.
    • Handle: RePEc:spr:comaot:v:25:y:2019:i:1:d:10.1007_s10588-018-09291-0
    DOI: 10.1007/s10588-018-09291-0
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    References listed on IDEAS

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    1. Joshua M. Epstein, 2014. "Agent_Zero:Toward Neurocognitive Foundations for Generative Social Science," Economics Books, Princeton University Press, edition 1, number 10169.
    2. Michael Prietula & Kathleen Carley & Les Gasser (ed.), 1998. "Simulating Organizations: Computational Models of Institutions and Groups," MIT Press Books, The MIT Press, edition 1, volume 1, number 026266108x, April.
    3. Herbert A. Simon, 1991. "Bounded Rationality and Organizational Learning," Organization Science, INFORMS, vol. 2(1), pages 125-134, February.
    4. Schelling, Thomas C, 1969. "Models of Segregation," American Economic Review, American Economic Association, vol. 59(2), pages 488-493, May.
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