Collective artificial intelligence and evolutionary dynamics

Udari Madhushani Sehwag¹, Alex McAvoy^{2

3}, Joshua B Plotkin^{4

5}

Affiliations

¹ Department of Computer Science, Stanford University, Stanford, CA 94305.
² School of Data Science and Society, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
³ Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
⁴ Department of Biology, University of Pennsylvania, Philadelphia, PA 19104.
⁵ Center for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104.

Udari Madhushani Sehwag et al. Proc Natl Acad Sci U S A. 2025.

. 2025 Jun 24;122(25):e2505860122.

doi: 10.1073/pnas.2505860122. Epub 2025 Jun 16.

Udari Madhushani Sehwag¹, Alex McAvoy^{2

3}, Joshua B Plotkin^{4

5}

¹ Department of Computer Science, Stanford University, Stanford, CA 94305.
² School of Data Science and Society, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
³ Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599.
⁴ Department of Biology, University of Pennsylvania, Philadelphia, PA 19104.
⁵ Center for Mathematical Biology, University of Pennsylvania, Philadelphia, PA 19104.

No abstract available

Conflict of interest statement

Competing interests statement:The authors declare no competing interest.

1. K. Zhang, Z. Yang, T. Başar, Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms, K. G. Vamvoudakis, Y. Wan, F. L. Lewis, D. Cansever, Eds. (Springer International Publishing, Cham, 2021), pp. 321–384.
1. W. Barfuss et al. , Collective cooperative intelligence. Proc. Natl. Acad. Sci. U.S.A. 122, e2319948122 (2023). - PMC - PubMed
1. J. Bielawski, T. Chotibut, F. Falniowski, M. Misiurewicz, G. Piliouras, Heterogeneity, reinforcement learning and chaos in population games. Proc. Natl. Acad. Sci. 122, e2319929122 (2023). - PMC - PubMed
1. Hofbauer J., Sigmund K., Evolutionary Games and Population Dynamics (Cambridge University Press, 1998).
1. E. A. Duéñez-Guzmán et al. , Perceptual interventions ameliorate statistical discrimination in learning agents. Proc. Natl. Acad. Sci. U.S.A. 122, e2319933122 (2023). - PMC - PubMed