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Multi-scale resolution of neural, cognitive and social systems

  • Mark G. OrrEmail author
  • Christian Lebiere
  • Andrea Stocco
  • Peter Pirolli
  • Bianica Pires
  • William G. Kennedy
S.I.: SBP-BRiMS 2018

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.

Keywords

Cognitive modeling Agent-based modeling Social simulation Multi-scale systems 

Notes

Acknowledgements

The Matrix Agent-Based Modeling Platform was developed by Parantapa Bhattacharya, Saliya Ekanayake, and Mandy Wilson.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • Mark G. Orr
    • 1
    Email author
  • Christian Lebiere
    • 2
  • Andrea Stocco
    • 3
  • Peter Pirolli
    • 4
  • Bianica Pires
    • 5
  • William G. Kennedy
    • 6
  1. 1.Biocomplexity Institute & IniativeUniversity of VirginiaCharlottesvilleUSA
  2. 2.Carnegie Mellon UniversityPittsburghUSA
  3. 3.University of WashingtonSeattleUSA
  4. 4.Institute for Human and Machine CognitionPensacolaUSA
  5. 5.Virginia TechArlingtonUSA
  6. 6.George Mason UniversityFairfaxUSA

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