Groups, governance, and greed: the ACCESS world model

Scott Rager*, Alice Leung, Shannon Pinegar, Jennifer Mangels, Marshall Scott Poole, Noshir Contractor

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)52-83
Number of pages32
JournalComputational and Mathematical Organization Theory
Volume29
Issue number1
DOIs
StatePublished - Mar 2023

Keywords

  • Agent-based modeling and simulation
  • complex social systems
  • emergent behavior

ASJC Scopus subject areas

  • General Decision Sciences
  • General Computer Science
  • Modeling and Simulation
  • Computational Mathematics
  • Applied Mathematics

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