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A survey of static and dynamic potential games

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Abstract

Potential games are noncooperative games for which there exist auxiliary functions, called potentials, such that the maximizers of the potential are also Nash equilibria of the corresponding game. Some properties of Nash equilibria, such as existence or stability, can be derived from the potential, whenever it exists. We survey different classes of potential games in the static and dynamic cases, with a finite number of players, as well as in population games where a continuum of players is allowed. Likewise, theoretical concepts and applications are discussed by means of illustrative examples.

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References

  1. Altman E, Hayel Y, Kameda H. Evolutionary dynamics and potential games in non-cooperative routing. In: Modeling and Optimization in Mobile. Ad Hoc and Wireless Networks and Workshops. Philadelphia: IEEE, 2007, 1–5

    Google Scholar 

  2. Alvarez-Mena J, Hernández-Lerma O. Existence of Nash equilibria for constrained stochastic games. Math Methods Oper Res, 2006, 63: 261–285

    Article  MathSciNet  MATH  Google Scholar 

  3. Amir R. Supermodularity and complementarity in economics: An elementary survey. Southern Econ J, 2005, 71: 636–660

    Article  Google Scholar 

  4. Arrow K J, Hurwicz L. Stability of the gradient process in n-person games. J Soc Ind App Math, 1960, 8: 280–294

    Article  MATH  Google Scholar 

  5. Arslan G, Marden J R, Shamma J. Autonomous vehicle-target assignment: A game theoretical formulation. J Dyn Syst Meas Control, 2007, 129: 584–596

    Article  Google Scholar 

  6. Aumann R. Subjectivity and correlation in randomized strategies. J Math Econom, 1974, 1: 67–96

    Article  MathSciNet  MATH  Google Scholar 

  7. Aumann R. Correlated equilibrium as an expression of Bayesian rationality. Econometrica, 1987, 55: 1–18

    Article  MathSciNet  MATH  Google Scholar 

  8. Basar T, Olsder G J. Dynamic Noncooperative Game Theory, 2nd ed. New York: Academic Press, 1995

    MATH  Google Scholar 

  9. Candogan O, Ozdaglar A, Parrilo P A. Dynamics in near-potential games. Games Econom Behav, 2013, 82: 66–90

    Article  MathSciNet  MATH  Google Scholar 

  10. Carbonell-Nicolau O, McLean R P. Refinements of Nash equilibrium in potential games. Theoret Econom, 2014, 9: 555–582

    Article  MathSciNet  Google Scholar 

  11. Case J. A class of games having Pareto optimal Nash equilibria. J Optim Theory Appl, 1974, 13: 379–385

    Article  MathSciNet  MATH  Google Scholar 

  12. Dechert W D. Optimal control problems from second order difference equations. J Econom Theory, 1978, 19: 50–63

    Article  MathSciNet  MATH  Google Scholar 

  13. Dechert W D. Noncooperative dynamic games: A control theoretic approach. Technical report. Department of Economics, University of Houston, 1997

    Google Scholar 

  14. Dechert W D, O’Donnell S I. The stochastic lake game: A numerical solution. J Econom Dynam Control, 2006, 30: 1569–1587

    Article  MathSciNet  MATH  Google Scholar 

  15. Dockner E J, Jorgensen S, Long N V, et al. Differential Games in Economics and Management Science. Cambridge: Cambridge University Press, 2000

    Book  MATH  Google Scholar 

  16. Dragone D, Lambertini L, Leitmann G, et al. Hamiltonian potential functions for differential games. Automatica, 2015, 62: 134–138

    Article  MathSciNet  MATH  Google Scholar 

  17. Dragone D, Lambertini L, Palestini A. A class of best-response potential games. Working paper 635. Department of Economics, University of Bologna, 2008

    MATH  Google Scholar 

  18. Dragone D, Lambertini L, Palestini A. Static and dynamic best-response potential functions for the non-linear Cournot game. Optimization, 2012, 61: 1283–1293

    Article  MathSciNet  MATH  Google Scholar 

  19. Dubey P. Inefficiency of Nash equilibria. Math Oper Res, 1986, 11: 1–8

    Article  MathSciNet  MATH  Google Scholar 

  20. Dubey P, Haimanko O, Zapechelnyuk A. Strategic complements and substitutes, and potential games. Games Econom Behav, 2006, 54: 77–94

    Article  MathSciNet  MATH  Google Scholar 

  21. Erickson G. Dynamic Models of Advertising Competition, 2nd ed. Boston: Kluwer Academic Publishers, 2012

    Google Scholar 

  22. Facchini G, van Megen F, Borm P, et al. Congestion models and weighted Bayesian potential games. Theory Decis, 1997, 42: 193–206

    Article  MathSciNet  MATH  Google Scholar 

  23. Fonseca-Morales A, Hernández-Lerma O. Potential differential games. Http://www.math.cinvestav.mx/sites/default/files/PDG.pdf

  24. Fox M J, Shamma J S. Population games, stable games, and passivity. Games, 2013, 4: 561–583

    Article  MathSciNet  MATH  Google Scholar 

  25. Fudenberg D, Levine D. The Theory of Learning in Games. Cambridge: MIT Press, 1998

    MATH  Google Scholar 

  26. Gairing M, Klimm M. Congestion games with player-specific costs revisited. In: Vöcking B, ed. Algorithmic Game Theory. Lecture Notes in Computer Science, vol. 8146. Berlin-Heidelberg: Springer, 2013, 98–109

    Chapter  Google Scholar 

  27. Ghosh M K, Bagchi A. Stochastic games with average payoff criterion. Appl Math Optim, 1998, 38: 283–301

    Article  MathSciNet  MATH  Google Scholar 

  28. Gintis H. Game Theory Evolving: A Problem-Centered Introduction to Modeling Strategic Interaction. Princeton: Princeton University Press, 2009

    MATH  Google Scholar 

  29. Goldstein H, Poole C, Safko J. Classical Mechanics, 3rd ed. Boston: Addison-Wesley, 2002

    MATH  Google Scholar 

  30. González-Sánchez D, Hernández-Lerma O. Discrete-Time Stochastic Control and Dynamic Potential Games: The Euler-Equation Approach. New York: Springer, 2013

    Book  MATH  Google Scholar 

  31. González-Sánchez D, Hernández-Lerma O. On the Euler equation approach to discrete-time nonstationary optimal control problems. J Dyn Games, 2014, 1: 57–78

    Article  MathSciNet  MATH  Google Scholar 

  32. González-Sánchez D, Hernández-Lerma O. Dynamic potential games: The discrete-time stochastic case. Dyn Games Appl, 2014, 4: 309–328

    Article  MathSciNet  MATH  Google Scholar 

  33. Gopalakrishnan R, Marden J R, Wierman A. Potential games are necessary to ensure pure Nash equilibria in cost sharing games. Math Oper Res, 2014, 39: 1252–1296

    Article  MathSciNet  MATH  Google Scholar 

  34. Harks T, Klimm M. On the existence of pure Nash equilibria in weighted congestion games. Math Oper Res, 2012, 37: 419–436

    Article  MathSciNet  MATH  Google Scholar 

  35. Harsanyi J C, Selten R. A General Theory of Equilibrium Selection in Games. Cambridge: MIT Press, 1988

    MATH  Google Scholar 

  36. Hart S, Schmeidler D. Existence of correlated equilibria. Math Oper Res, 1989, 14: 18–25

    Article  MathSciNet  MATH  Google Scholar 

  37. Haurie A, Krawczyk J B, Zaccour G. Games and Dynamic Games. Singapore: World Scientific, 2012

    Book  MATH  Google Scholar 

  38. Hino Y. An improved algorithm for detecting potential games. Internat J Game Theory, 2011, 40: 199–205

    Article  MathSciNet  MATH  Google Scholar 

  39. Hofbauer J, Sandholm W H. Stable games and their dynamics. J Econom Theory, 2009, 144: 1665–1693

    Article  MathSciNet  MATH  Google Scholar 

  40. Hofbauer J, Sigmund K. Evolutionary game dynamics. Bull Amer Math Soc, 2003, 40: 479–519

    Article  MathSciNet  MATH  Google Scholar 

  41. Hofbauer J, Sorger G. Perfect foresight and equilibrium selection in symmetric potential games. J Econom Theory, 1999, 85: 1–23

    Article  MathSciNet  MATH  Google Scholar 

  42. Holzman R, Law-Yone N. Strong equilibrium in congestion games. Games Econom Behav, 1997, 21: 85–101

    Article  MathSciNet  MATH  Google Scholar 

  43. Jaskiewicz A, Nowak A S. On pure stationary almost Markov Nash equilibria in nonzero-sum ARAT stochastic games. Math Methods Oper Res, 2015, 81: 169–179

    Article  MathSciNet  MATH  Google Scholar 

  44. Jaskiewicz A, Nowak A S. Stochastic games of resource extraction. Automatica, 2015, 54: 310–316

    Article  MathSciNet  MATH  Google Scholar 

  45. Jaskiewicz A, Nowak A S. Stationary almost Markov perfect equilibria in discounted stochastic games. Math Oper Res, 2016, 41: 430–441

    Article  MathSciNet  MATH  Google Scholar 

  46. Jensen M K. Aggregative games and best-reply potentials. Econom Theory, 2010, 43: 45–66

    Article  MathSciNet  MATH  Google Scholar 

  47. Jørgensen S, Zaccour G. Differential Games in Marketing. New York: Springer, 2004

    Book  Google Scholar 

  48. Kukushkin N S. A fixed-point theorem for decreasing mappings. Econom Lett, 1994, 46: 23–26

    Article  MathSciNet  MATH  Google Scholar 

  49. Kukushkin N S. Potential games: A purely ordinal approach. Econom Lett, 1999, 64: 279–283

    Article  MathSciNet  MATH  Google Scholar 

  50. Kukushkin N S. Best response dynamics in finite games with additive aggregation. Games Econom Behav, 2004, 48: 94–110

    Article  MathSciNet  MATH  Google Scholar 

  51. La Q D, Chew Y H, Soong B H. Potential Game Theory: Applications in Radio Resource Allocation. New York: Springer, 2016

    Book  Google Scholar 

  52. Mallozzi L. An application of optimization theory to the study of equilibria for games: A survey. Cent Eur J Oper Res, 2013, 21: 523–539

    Article  MathSciNet  MATH  Google Scholar 

  53. Marden J, Arslan G, Shamma J. Cooperative control and potential games. IEEE Trans Syst Man Cyber, 2009, 39: 1393–1407

    Article  Google Scholar 

  54. Mendoza-Palacios S, Hernández-Lerma O. Evolutionary dynamics on measurable strategy spaces: Asymmetric games. J Differential Equations, 2015, 259: 5709–5733

    Article  MathSciNet  MATH  Google Scholar 

  55. Michel A N, Hou L, Liu D. Stability of Dynamical Systems: On the Role of Monotonic and Non-Monotonic Lyapunov Functions. Basel: Birkhäuser, 2015

    Book  MATH  Google Scholar 

  56. Milchtaich I. Congestion games with player-specific payoff functions. Games Econom Behav, 1996, 13: 111–124

    Article  MathSciNet  MATH  Google Scholar 

  57. Milchtaich I. Weighted congestion games with separable preferences. Games Econom Behav, 2009, 67: 750–757

    Article  MathSciNet  MATH  Google Scholar 

  58. Monderer D, Shapley L S. Potential games. Games Econom Behav, 1996, 14: 124–143

    Article  MathSciNet  MATH  Google Scholar 

  59. Monderer D, Shapley L S. Fictitious play property for games with identical interests. J Econom Theory, 1996, 1: 258–265

    Article  MathSciNet  MATH  Google Scholar 

  60. Nash J F. Equilibrium points in n-person games. Proc Nat Acad Sci USA, 1950, 36: 48–49

    Article  MathSciNet  MATH  Google Scholar 

  61. Neyman A. Correlated equilibrium and potential games. Internat J Game Theory, 1997, 26: 223–227

    Article  MathSciNet  MATH  Google Scholar 

  62. Osborne M J, Rubinstein A. A Course in Game Theory. Boston: MIT Press, 1994

    MATH  Google Scholar 

  63. Park J. Potential games with incomplete preferences. J Math Econom, 2015, 61: 58–66

    Article  MathSciNet  MATH  Google Scholar 

  64. Peleg B. Almost all equilibria in dominant strategies are coalition-proof. Econom Lett, 1998, 60: 157–162

    Article  MathSciNet  MATH  Google Scholar 

  65. Philpott A. Mathematics of Electricity Markets under Uncertainty. Philadelphia: SIAM, 2014

    Google Scholar 

  66. Pontryagin L S, Boltyanskii V G, Gamkrelidze R V, et al. The Mathematical Theory of Optimal Processes. New York: Interscience Publishers, 1962

    Google Scholar 

  67. Potters J A M, Raghavan T E S, Tijs S H. Pure equilibrium strategies for stochastic games via potential functions. In: Advances in Dynamic Games and Their Applications. Boston: Birkhauser, 2009, 433–444

    Google Scholar 

  68. Reddy V, Shakkottai S, Sprintson A, et al. Multipath wireless network coding: A population game perspective. Proc IEEE Infocom, 2010, 54: 1–9

    Google Scholar 

  69. Rosenthal R W. A class of games possessing pure-strategy Nash equilibria. Internat J Game Theory, 1973, 2: 65–67

    Article  MathSciNet  MATH  Google Scholar 

  70. Sandholm W H. Potential games with continuous player sets. J Econom Theory, 2001, 97: 81–108

    Article  MathSciNet  MATH  Google Scholar 

  71. Sandholm W H. Large population potential games. J Econom Theory, 2009, 144: 1710–1725

    Article  MathSciNet  MATH  Google Scholar 

  72. Sandholm W H. Population Games and Evolutionary Dynamics. Boston: MIT Press, 2010

    MATH  Google Scholar 

  73. Sandholm W H. Population games and deterministic evolutionary dynamics. In: Handbook of Game Theory with Economic Applications, vol. 4. Amsterdam: Elsevier, 2015, 703–778

    Google Scholar 

  74. Shakkottai S, Altman E, Kumar A. Multihoming of users to access points in WLANs: A population game perspective. IEEE J Sel Areas Commun, 2007, 25: 1207–1215

    Article  Google Scholar 

  75. Shamma J S. Learning in Games. London: Springer, 2015

    Book  Google Scholar 

  76. Shapley L S. Stochastic games. Proc Nat Acad Sci USA, 1953, 39: 1095–1100

    Article  MathSciNet  MATH  Google Scholar 

  77. Slade M E. The fictitious-payoff function: Two applications to dynamic games. Ann économ Statist, 1989, 15/16: 193–216

    Article  MathSciNet  Google Scholar 

  78. Slade M E. What does an oligopoly maximize? J Ind Econom, 1994, 42: 45–61

    Article  Google Scholar 

  79. Trélat E, Zuazua E. The turnpike property in finite-dimensional nonlinear optimal control. J Differential Equations, 2015, 258: 81–114

    Article  MathSciNet  MATH  Google Scholar 

  80. Ui T. Correlated equilibrium and concave games. Internat J Game Theory, 2008, 37: 1–13

    Article  MathSciNet  MATH  Google Scholar 

  81. Uno H. Nested potential games. Econom Bull, 2007, 3: 1–8

    MathSciNet  Google Scholar 

  82. Uno H. Strategic complementarities and nested potential games. J Math Econom, 2011, 47: 728–732

    Article  MathSciNet  MATH  Google Scholar 

  83. van Heumen R, Peleg B, Tijs S, et al. Axiomatic characterizations of solutions for Bayesian games. Theory and Decision, 1996, 40: 103–129

    Article  MathSciNet  MATH  Google Scholar 

  84. Voorneveld M. Best-response potential games. Econom Lett, 2000, 66: 289–295

    Article  MathSciNet  MATH  Google Scholar 

  85. Voorneveld M, Borm P, Van Megen F, et al. Congestion games and potentials reconsidered. Int Game Theory Rev, 1999, 1: 283–299

    Article  MathSciNet  MATH  Google Scholar 

  86. Voorneveld M, Norde H. A characterization of ordinal potential games. Games Econom Behav, 1997, 19: 235–242

    Article  MathSciNet  MATH  Google Scholar 

  87. Yang Y, Rubio F, Scutari G, et al. Multi-portfolio optimization: A potential game approach. IEEE Trans Signal Process, 2013, 61: 5590–5601

    Article  MathSciNet  Google Scholar 

  88. Yeung D W, Petrosyan L A. Cooperative Stochastic Differential Games. New York: Springer, 2006

    MATH  Google Scholar 

  89. Young H. Strategic Learning and Its Limits. Oxford: Oxford University Press, 2004

    Book  Google Scholar 

  90. Zazo S, Valcarcel Macua S, Sánchez-Fernández M, et al. A New Framework for Solving Dynamic Scheduling Games. New York: IEEE, 2015

    Book  Google Scholar 

  91. Zazo S, Zazo J, Sánchez-Fernández M. A control theoretic approach to solve a constrained uplink power dynamic game. In: Proceedings of the 22nd European Signal Processing Conference. Lisbon: EURASIP, 2014: 401–405

    Google Scholar 

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González-Sánchez, D., Hernández-Lerma, O. A survey of static and dynamic potential games. Sci. China Math. 59, 2075–2102 (2016). https://doi.org/10.1007/s11425-016-0264-6

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