Subjectivity and Correlation in Randomized Strategies
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In the Iterated Prisoner's Dilemma, M-FOS far outperforms both policy-gradient learners and higher-order methods (LOLA, M-MAML), securing payoffs above mutual cooperation against all opponents and rediscovering Zero-Determinant extortion.
“In the Iterated Prisoner's Dilemma (Aumann, 1974), M-FOS far outperforms both policy-gradient learners and higher-order methods (LOLA, M-MAML), securing payoffs above mutual cooperation against all opponents and rediscovering Zero-Determinant extortion.”
From Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents (2025) · cites this paper as Aumann, 1974
The citation is attached to “Iterated Prisoner's Dilemma,” rather than to the subsequent M-FOS performance claim. Our copy's examples discuss two-person non-zero-sum games and matching pennies, but the passages found when searching for the iterated or repeated Prisoner's Dilemma do not identify that game. The cited connection cannot be verified from our copy. (LLM, conf=0.76)
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Research works printed but not linked: 4
- Aumann, R.J., 1964, Mixed and behavior strategies in infinite extensive games, in: M. Dresher, L.S. Shapley and A.W. Tucker, eds., Advances in game theory (Princeton University Press, Princeton) 627-650.
- Kuhn, H.W., 1953, Extensive games and the problem of information, in: H.W. Kuhn and A.W. Tucker, eds., Contributions to the theory of games II (Princeton University Press, Princeton) 193-216.
- Savage, L.J., 1954, The foundations of statistics (John Wiley, New York).
- Von Neumann, J. and 0. Morgenstem, 1944, Theory of games and economic behavior (Princeton University Press, Princeton); 3rd ed., 1953.
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Open Challenges in Multi-Agent Security: Towards Secure Systems of Interacting AI Agents
de Witt, C. S., Krawiecka, K., Krawczuk, I., Hagag, B., Anderson, W. L., Belcak, P., Bucknall, B., Cai, X., Chopra, A., Cohen, D., et al. (2025) · arXiv · doi:10.48550/arxiv.2505.02077 · Cited by 2 · see citing works
“In the Iterated Prisoner’s Dilemma (Aumann, 1974), M-FOS far outperforms both policy-gradient learners and higher-order methods (LOLA, M-MAML), securing payoffs above mutual cooperation against all opponents and rediscovering Zero-Determinant extortion.”
- Authors
- Aumann, R. J.
- Affiliations
- Hebrew University of Jerusalem (IL)
- Corresponding author
- Aumann, Robert J.
- ORCID
- Aumann, Robert J.
- Venue
- Journal of Mathematical Economics
- Publisher
- Elsevier BV
- Published
- 1974-03
- Volume
- 1
- Issue
- 1
- Pages
- 67-96
- ISSN
- 0304-4068 (ISSN-L)
- OpenAlex
- W2112794046
- Cited by
- 1,630
- References
- 0
- Citations by year
- 2026: 36 · 2025: 53 · 2024: 50 · 2023: 62 · 2022: 57 · 2021: 48 · 2020: 62 · 2019: 60 · 2018: 52 · 2017: 69 · 2016: 59 · 2015: 56 · 2014: 59 · 2013: 77 · 2012: 59
- FWCI
- 3.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.dklevine.com
- Locations
- Journal of Mathematical Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Game Theory and Applications
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Game Theory and Voting Systems
- Social Sciences › Safety Research › Experimental Behavioral Economics Studies
- Keywords
- subjectivity, correlation, randomized strategies, mixed strategies, subjective probability, correlated equilibrium, game theory
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