Game-theoretic Agents
Game-Theoretic Agents is an agent archetype in agent-based simulation that instantiates strategic decision-making through game-theoretic principles, distinguishing itself by formally modeling interactions as payoff structures wherein rational agents optimize individual or collective outcomes under interdependence.
113
Publications
4.5K
Citations
300
Authors
114
Institutions
Publications per year
2017–2026
27
Parents
113
A builder's guide to agent-based financial markets
Blake LeBaron · Quantitative Finance · 2001 · 224 citations
Optimal Policy for Software Vulnerability Disclosure
Ashish Arora, Rahul Telang, Hao Xu · Management Science · 2008 · 170 citations
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114
New York University
New York, United States
6 h-index
18 publications
713 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
10 publications
708 citations

National Bureau of Economic Research
Cambridge, United States
4 h-index
4 publications
118 citations
University of Maryland, College Park
College Park, United States
4 h-index
8 publications
603 citations

University of Alberta
Edmonton, Canada
3 h-index
20 publications
414 citations
Iowa State University
Ames, United States
3 h-index
4 publications
105 citations
The University of Texas at Austin
Austin, United States
3 h-index
6 publications
300 citations

University of Essex
Colchester, United Kingdom
3 h-index
7 publications
249 citations
1–8 of 114
5 publications · 168 citations
5
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Repository · 4 publications · 102 citations
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4 publications · 166 citations
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Repository · 3 publications · 86 citations
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3 publications · 50 citations
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