TY - JOUR
T1 - Groups, governance, and greed
T2 - the ACCESS world model
AU - Rager, Scott
AU - Leung, Alice
AU - Pinegar, Shannon
AU - Mangels, Jennifer
AU - Poole, Marshall Scott
AU - Contractor, Noshir
N1 - Funding Information:
This document does not contain technology or technical data controlled under either the U.S. International Traffic in Arms Regulations or the U.S. Export Administration Regulations. This material is based upon work supported by the Defense Advanced Research Projects Agency (DARPA) under Contract No. HR001118C0022. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the DARPA.
Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Agent-based modeling and simulation
KW - complex social systems
KW - emergent behavior
UR - http://www.scopus.com/inward/record.url?scp=85119157779&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85119157779&partnerID=8YFLogxK
U2 - 10.1007/s10588-021-09352-x
DO - 10.1007/s10588-021-09352-x
M3 - Article
AN - SCOPUS:85119157779
SN - 1381-298X
JO - Computational and Mathematical Organization Theory
JF - Computational and Mathematical Organization Theory
ER -