Groups, governance, and greed: the ACCESS world model

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 worl...

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Bibliographic Details
Published in:Computational and mathematical organization theory 2023-03, Vol.29 (1), p.52-83
Main Authors: Rager, Scott, Leung, Alice, Pinegar, Shannon, Mangels, Jennifer, Poole, Marshall Scott, Contractor, Noshir
Format: Article
Language:English
Subjects:
Access
Artificial Intelligence
Behavior
Business and Management
Cognitive science
Cognitive-behavioral factors
Decision making
Design
Governance
Greed
Management
Methodology of the Social Sciences
Operations Research/Decision Theory
Organization theory
S.I. : Ground Truth: in silico Social Science (GTIS3)
Science
Simulation
Social sciences
Social systems
Society
Sociology
Teams
Truth
Variables
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Summary: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.
ISSN:1381-298X
1572-9346
DOI:10.1007/s10588-021-09352-x