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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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Published in: | Computational and mathematical organization theory 2023-03, Vol.29 (1), p.52-83 |
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creator | Rager, Scott Leung, Alice Pinegar, Shannon Mangels, Jennifer Poole, Marshall Scott Contractor, Noshir |
description | 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. |
doi_str_mv | 10.1007/s10588-021-09352-x |
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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 |
title | Groups, governance, and greed: the ACCESS world model |
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