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Groups, governance, and greed: the ACCESS world model

Author

Listed:
  • Scott Rager

    (Raytheon BBN Technologies)

  • Alice Leung

    (Raytheon BBN Technologies)

  • Shannon Pinegar

    (Miami University)

  • Jennifer Mangels

    (City University of New York)

  • Marshall Scott Poole

    (University of Illinois)

  • Noshir Contractor

    (Northwestern University)

Abstract

ACCESS—the Agent-based Causal simulator with Cognitive, Environmental, and Social System factors—is an agent-based simulation of an alternate world that is designed to test social science methodologies’ abilities to explain, predict, and prescribe policies for complex social systems. The ACCESS world model includes behaviors based on behavioral and cognitive sciences within and across individuals, groups, and the society to create a multi-level model that exhibits emergent phenomena. In this paper, we detail the logic underlying our conceptualization of the entities (individuals, groups, and the world) and their interactions. We also provide details on how we used the ACCESS model to challenge and score social scientist teams’ abilities to explain, predict, and prescribe in the artificial world as part of the DARPA Ground Truth program.

Suggested Citation

  • Scott Rager & Alice Leung & Shannon Pinegar & Jennifer Mangels & Marshall Scott Poole & Noshir Contractor, 2023. "Groups, governance, and greed: the ACCESS world model," Computational and Mathematical Organization Theory, Springer, vol. 29(1), pages 52-83, March.
    • Handle: RePEc:spr:comaot:v:29:y:2023:i:1:d:10.1007_s10588-021-09352-x
    DOI: 10.1007/s10588-021-09352-x
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