References

Albrecht, Stefano V., Filippos Christianos, and Lukas Schäfer. 2024. Multi-Agent Reinforcement Learning: Foundations and Modern Approaches. The MIT Press. https://www.marl-book.com/.

Binmore, Ken. 2007. Game Theory: A Very Short Introduction. Oxford University Press. https://doi.org/10.1093/actrade/9780199218462.001.0001.

González-Díaz, Julio, Ignacio García-Jurado, and M. Gloria Fiestras-Janeiro. 2010. An Introductory Course on Mathematical Game Theory. Vol. 115. Graduate Studies in Mathematics. American Mathematical Society; Real Sociedad Matemática Española. https://www.ams.org/books/gsm/115/.

Güth, Werner, Martin Kocher, and Matthias Sutter. 2002. “Experimental ‘Beauty Contests’ with Homogeneous and Heterogeneous Players and with Interior and Boundary Equilibria.” Economics Letters 74 (2): 219–28. https://doi.org/10.1016/S0165-1765(01)00544-4.

Kochenderfer, Mykel J., Tim A. Wheeler, and Kyle H. Wray. 2022. Algorithms for Decision Making. The MIT Press. https://mitpress.mit.edu/9780262047012/algorithms-for-decision-making/.

Kovařík, Vojtěch, Eric Olav Chen, Sami Petersen, Alexis Ghersengorin, and Vincent Conitzer. 2025. AI Testing Should Account for Sophisticated Strategic Behaviour. https://doi.org/10.48550/arXiv.2508.14927.

Maschler, Michael, Eilon Solan, and Shmuel Zamir. 2020. Game Theory. 2nd ed. Cambridge University Press. https://doi.org/10.1017/9781108636049.

Moravčík, Matej, Martin Schmid, Neil Burch, et al. 2017. “DeepStack: Expert-Level Artificial Intelligence in Heads-up No-Limit Poker.” Science 356 (6337): 508–13. https://doi.org/10.1126/science.aam6960.

Myerson, Roger B. 1981. “Optimal Auction Design.” Mathematics of Operations Research 6 (1): 58–73. https://doi.org/10.1287/moor.6.1.58.

Nagel, Rosemarie. 1995. “Unraveling in Guessing Games: An Experimental Study.” The American Economic Review 85 (5): 1313–26. https://www.cs.princeton.edu/courses/archive/spring08/cos444/papers/nagel95.pdf.

Nash, John. 1951. “Non-Cooperative Games.” Annals of Mathematics 54 (2): 286–95. https://doi.org/10.2307/1969529.

Neumann, John von. 1928. “Zur Theorie Der Gesellschaftsspiele.” Mathematische Annalen 100: 295–320. https://doi.org/10.1007/BF01448847.

Procaccia, Ariel D. 2016. Noncooperative Games 1: Basic Concepts. CMU 15-896, Spring 2016, Lecture 17, lecture slides. https://www.cs.cmu.edu/~arielpro/15896s16/slides/896s16-17.pdf.

Shapley, Lloyd S. 1953. “A Value for n-Person Games.” In Contributions to the Theory of Games II, edited by Harold W. Kuhn and Albert W. Tucker. Princeton University Press.

Shoham, Yoav, and Kevin Leyton-Brown. 2008. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press. https://doi.org/10.1017/CBO9780511811654.

Silver, David, Aja Huang, Chris J. Maddison, et al. 2016. “Mastering the Game of Go with Deep Neural Networks and Tree Search.” Nature 529: 484–89. https://doi.org/10.1038/nature16961.

Vickrey, William. 1961. “Counterspeculation, Auctions, and Competitive Sealed Tenders.” The Journal of Finance 16 (1): 8–37. https://doi.org/10.1111/j.1540-6261.1961.tb02789.x.

Vinyals, Oriol, Igor Babuschkin, Wojciech M. Czarnecki, et al. 2019. “Grandmaster Level in StarCraft II Using Multi-Agent Reinforcement Learning.” Nature 575: 350–54. https://doi.org/10.1038/s41586-019-1724-z.