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Journal articles on the topic 'Game theory'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

M. Ferreira, Manuel Alberto, and Maria Cristina Peixoto Matos. "Game theory and coopetition." Journal of Economics and Engineering 5, no. 1 (2014): 5–8. http://dx.doi.org/10.7813/jee.2014/5-1/1.

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2

Hanley, John T. "GAMES, game theory and artificial intelligence." Journal of Defense Analytics and Logistics 5, no. 2 (2021): 114–30. http://dx.doi.org/10.1108/jdal-10-2021-0011.

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PurposeThe purpose of this paper is to illustrate how game theoretic solution concepts inform what classes of problems will be amenable to artificial intelligence and machine learning (AI/ML), and how to evolve the interaction between human and artificial intelligence.Design/methodology/approachThe approach addresses the development of operational gaming to support planning and decision making. It then provides a succinct summary of game theory for those designing and using games, with an emphasis on information conditions and solution concepts. It addresses how experimentation demonstrates wh

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3

Goodwin, Paul. "Forecasting games: can game theory win?" International Journal of Forecasting 18, no. 3 (2002): 369–74. http://dx.doi.org/10.1016/s0169-2070(02)00022-5.

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4

Olsder, Geert Jan. "Foundations of game theory: Noncooperative games." Automatica 32, no. 9 (1996): 1341–42. http://dx.doi.org/10.1016/0005-1098(96)88873-x.

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5

Taylor, Mark, Mike Baskett, Denis Reilly, and Somasundaram Ravindran. "Game Theory for Computer Games Design." Games and Culture 14, no. 7-8 (2017): 843–55. http://dx.doi.org/10.1177/1555412017740497.

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Designing and developing computer games can be a complex activity that may involve professionals from a variety of disciplines. In this article, we examine the use of game theory for supporting the design of gameplay within the different sections of a computer game and demonstrate its application in practice via adapted high-level decision trees for modeling the flow in gameplay and payoff matrices for modeling skill or challenge levels.

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6

Fudenberg, Drew, and David K. Levine. "Whither Game Theory? Towards a Theory of Learning in Games." Journal of Economic Perspectives 30, no. 4 (2016): 151–70. http://dx.doi.org/10.1257/jep.30.4.151.

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Game theory has been a huge success in economics. Many important questions have been answered, and game theoretic methods are now central to much economic investigation. We suggest areas where further advances are important, and argue that models of learning are a promising route for improving and widening game theory's predictive power while preserving the successes of game theory where it already works well. We emphasize in particular the need for better understanding of the speed with which learning takes place.

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7

Coffey, Aodhan L., Tomas E. Ward, and Richard H. Middleton. "Game Theory." International Journal of Ambient Computing and Intelligence 3, no. 3 (2011): 43–51. http://dx.doi.org/10.4018/jaci.2011070106.

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Designing suitable robotic controllers for automating movement-based rehabilitation therapy requires an understanding of the interaction between patient and therapist. Current approaches do not take into account the highly dynamic and interdependent nature of this relationship. A better understanding can be accomplished through framing the interaction as a problem in game theory. The main strength behind this approach is the potential to develop robotic control systems which automatically adapt to patient interaction behavior. Agents learn from experiences, and adapt their behaviors so they ar

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8

Rubinstein, Ariel, Drew Fudenberg, and Jean Tirole. "Game Theory." Economica 60, no. 238 (1993): 245. http://dx.doi.org/10.2307/2554596.

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9

Eichberger, Jurgen, Drew Fudenberg, Jean Tirole, and Roger B. Myerson. "Game Theory." Economic Journal 103, no. 419 (1993): 1065. http://dx.doi.org/10.2307/2234726.

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10

Paturel, Amy. "Game Theory." Neurology Now 10, no. 3 (2014): 32–36. http://dx.doi.org/10.1097/01.nnn.0000451325.82915.1d.

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11

Prasad, Kislaya. "Game theory." International Review of Economics & Finance 3, no. 1 (1994): 129–31. http://dx.doi.org/10.1016/1059-0560(94)90048-5.

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12

Wilson, Charles A. "Game theory." Games and Economic Behavior 4, no. 2 (1992): 314–17. http://dx.doi.org/10.1016/0899-8256(92)90021-j.

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13

Dufwenberg, Martin. "Game theory." Wiley Interdisciplinary Reviews: Cognitive Science 2, no. 2 (2010): 167–73. http://dx.doi.org/10.1002/wcs.119.

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14

Babu, P. G. "Game theory." Resonance 3, no. 7 (1998): 53–60. http://dx.doi.org/10.1007/bf02837313.

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15

Babu, P. G. "Game theory." Resonance 3, no. 8 (1998): 46–55. http://dx.doi.org/10.1007/bf02837345.

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16

Cossins, Daniel. "Game theory." New Scientist 228, no. 3051 (2015): 36. http://dx.doi.org/10.1016/s0262-4079(15)31762-0.

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17

Britten, Anna. "Game theory." Significance 20, no. 6 (2023): 34–35. http://dx.doi.org/10.1093/jrssig/qmad096.

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Abstract Looking for some new games to beat family and friends at this Christmas? Marcus du Sautoy’s new book gathers traditional games from around the world, explores the maths embedded in them and shows us what they reveal about our species

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18

Fudenberg, D., and D. K. Levine. "Whither game theory? Towards a theory oflearning in games." Voprosy Ekonomiki, no. 5 (May 20, 2017): 116–35. http://dx.doi.org/10.32609/0042-8736-2017-5-116-135.

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Теория игр достигла необыкновенных успехов в рамках экономической науки. Были получены ответы на многие важные вопросы, теоретико-игровые методы теперь играют ключевую роль в экономических исследованиях. В статье показано, в каких областях необходимы дальнейшие изыскания. Утверждается, что модели обучения позволят усовершенствовать и расширить предсказательную силу теории игр, сохранив имеющиеся успешные приложения. Особый акцент сделан на необходимости точнее исследовать скорость обучения.

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19

Brams, Steven J. "Game Theory and Literature." Games and Economic Behavior 6, no. 1 (1994): 32–54. http://dx.doi.org/10.1006/game.1994.1002.

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20

Glynatsi, Nikoleta, and Vincent Knight. "Game Theory and Python: An educational tutorial to game theory and repeated games using Python." Journal of Open Source Education 4, no. 39 (2021): 78. http://dx.doi.org/10.21105/jose.00078.

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21

Pi, Jiasheng. "Game Theory and Game Mechanics Design." SHS Web of Conferences 188 (2024): 03020. http://dx.doi.org/10.1051/shsconf/202418803020.

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This paper focuses on the significance of game balance in games and explores the application of game theory concepts for designing and analyzing balanced gameplay. When analyzing instances of games, the paper initially presents the renowned prisoner’s dilemma, a prominent problem in game theory, and delves into diverse strategies along with their corresponding advantages, thereby enabling readers to appreciate the captivating essence of game theory. After that, the paper respectively mentions two individual cases from two different forms of games. The well-known game Rock-Paper-Scissors is a s

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22

Wu, Wentao. "Theory and Practical Application Based on Game Theory." BCP Business & Management 44 (April 27, 2023): 919–25. http://dx.doi.org/10.54691/bcpbm.v44i.4978.

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Game theory refers to the method in which one of the interacting parties obtains the decision-making information of the other party and uses it to influence the other party in turn. Therefore, game theory is also called "game theory". Game theory can be divided into cooperative game and non-cooperative game. In recent decades, the theory of game theory has developed rapidly with the establishment of John Nash and has been applied to many fields such as medical, engineering, military, and business. In this paper, the author starts from the basic definition of game theory and analyze the prisone

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23

Ray, Indrajit, and Lin Zhou. "Game Theory via Revealed Preferences." Games and Economic Behavior 37, no. 2 (2001): 415–24. http://dx.doi.org/10.1006/game.2001.0845.

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24

Crogan, Patrick. "The Game Thing: Ludology and other Theory Games." Media International Australia 110, no. 1 (2004): 10–18. http://dx.doi.org/10.1177/1329878x0411000104.

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The current state of computer games studies is critically examined in this paper by means of an analysis of the recently released computer game, The Thing. Game studies is an emerging area of humanities scholarship, an emergence that exhibits characteristically ambivalent processes of defining its own object and staking out its own field of expertise from other areas of academic competence. A principal dynamic of these processes concerns the opposition between ‘ludological’ and narratological theorisations of the computer game. This opposition is examined for both its limitations and its produ

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25

Wasow, Thomas. "Binding theory meets game theory." Semiotica 98, no. 1-2 (1994): 187–98. http://dx.doi.org/10.1515/semi-1994-981-211.

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26

Khouzani, MHR, and Pasquale Malacaria. "Information Theory in Game Theory." Entropy 20, no. 11 (2018): 817. http://dx.doi.org/10.3390/e20110817.

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Information theory, as the mathematics of communication and storage of information, and game theory, as the mathematics of adversarial and cooperative strategic behaviour, are each successful fields of research on their own. [...]

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27

Serhii, Yevseiev, Milov Oleksandr, Milevskyi Stanislav, et al. "DEVELOPMENT AND ANALYSIS OF GAME-THEORETICAL MODELS OF SECURITY SYSTEMS AGENTS INTERACTION." Eastern-European Journal of Enterprise Technologies 2, no. 4 (104) (2020): 15–29. https://doi.org/10.15587/1729-4061.2020.201418.

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A game-theoretic approach is presented, which claims to be a universal method for solving most problems in the field of cybersecurity. As arguments to confirm the superiority of game theory, mathematical validity and provability of the optimality of decisions made, unlike the widely used heuristics, the possibility of developing reliable protection based on analytical results, ensuring a timely response to cyberattacks in conditions of limited resources, as well as distributed nature of decision making are highlighted. The definitions of the basic concepts used in security tasks based on game-

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28

Michel, Arij. "Evolutionary Game Theory." International Journal of Circular Economy and Waste Management 1, no. 2 (2021): 20–28. http://dx.doi.org/10.4018/ijcewm.2021070103.

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The article uses evolutionary game theory analysis as the research object, which is the most commonly used research method of institutional change, and summarizes some methods in the research of institutional change, and points out the advantages and disadvantages of evolutionary game analysis in the research of institutional change and through the comparison of cutting-edge methods and evolutionary games to see the development direction of future research institutional changes.

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29

Ortmann, Andreas, and Jorgen W. Weibull. "Evolutionary Game Theory." Southern Economic Journal 63, no. 3 (1997): 834. http://dx.doi.org/10.2307/1061129.

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30

Hopkins, Ed. "Evolving Game Theory." Journal of Economic Surveys 11, no. 1 (1997): 101–6. http://dx.doi.org/10.1111/1467-6419.00025.

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31

Fudenberg, Drew, Jörgen W. Weibull, and Jorgen W. Weibull. "Evolutionary Game Theory." Scandinavian Journal of Economics 98, no. 3 (1996): 461. http://dx.doi.org/10.2307/3440739.

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32

Munro, Alistair. "Evolutionary Game Theory." Economic Journal 107, no. 440 (1997): 218–19. http://dx.doi.org/10.1093/ej/107.440.218.

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33

Krueger, Joachim I. "Heuristic game theory." Decision 1, no. 1 (2014): 59–61. http://dx.doi.org/10.1037/dec0000002.

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34

Kline, J. Jude. "Basic Game Theory." Australian Economic Review 33, no. 4 (2000): 381–87. http://dx.doi.org/10.1111/1467-8462.00170.

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35

RAPOPORT, ANATOL. "Game Theory Defined." Rationality and Society 4, no. 1 (1992): 74–82. http://dx.doi.org/10.1177/1043463192004001009.

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36

Roughgarden, Tim. "Algorithmic game theory." Communications of the ACM 53, no. 7 (2010): 78–86. http://dx.doi.org/10.1145/1785414.1785439.

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37

Sigmund, Karl, and Martin A. Nowak. "Evolutionary game theory." Current Biology 9, no. 14 (1999): R503—R505. http://dx.doi.org/10.1016/s0960-9822(99)80321-2.

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38

Aghassi, Michele, and Dimitris Bertsimas. "Robust game theory." Mathematical Programming 107, no. 1-2 (2006): 231–73. http://dx.doi.org/10.1007/s10107-005-0686-0.

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39

Smith, John Maynard. "Evolutionary game theory." Physica D: Nonlinear Phenomena 22, no. 1-3 (1986): 43–49. http://dx.doi.org/10.1016/0167-2789(86)90232-0.

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40

Velegol, Darrell, Paul Suhey, John Connolly, Natalie Morrissey, and Laura Cook. "Chemical Game Theory." Industrial & Engineering Chemistry Research 57, no. 41 (2018): 13593–607. http://dx.doi.org/10.1021/acs.iecr.8b03835.

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41

Van Damme, Eric. "Evolutionary game theory." European Economic Review 38, no. 3-4 (1994): 847–58. http://dx.doi.org/10.1016/0014-2921(94)90121-x.

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42

Illius, Andrew. "Big-game theory." Nature 429, no. 6991 (2004): 504–5. http://dx.doi.org/10.1038/429504a.

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43

Hausman, Daniel M. "‘Testing’ game theory." Journal of Economic Methodology 12, no. 2 (2005): 211–23. http://dx.doi.org/10.1080/13501780500086065.

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44

Richter, Michael, and Ariel Rubinstein. "Holding a Group Together: Non-Game Theory Versus Game Theory." Economic Journal 131, no. 638 (2021): 2629–41. http://dx.doi.org/10.1093/ej/ueab026.

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Abstract Each member of a group chooses a position and has preferences regarding his chosen position. The group’s harmony depends on the profile of chosen positions meeting a specific condition. We analyse a solution concept (Richter and Rubinstein, 2020) based on a permissible set of individual positions, which plays a role analogous to that of prices in competitive equilibrium. Given the permissible set, members choose their most preferred position. The set is tightened if the chosen positions are inharmonious and relaxed if the restrictions are unnecessary. This new equilibrium concept yiel

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45

Goeree, J. K., and C. A. Holt. "Stochastic game theory: For playing games, not just for doing theory." Proceedings of the National Academy of Sciences 96, no. 19 (1999): 10564–67. http://dx.doi.org/10.1073/pnas.96.19.10564.

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46

Bellany, Ian. "Superpower games: applying game theory to superpower conflict." International Affairs 62, no. 3 (1986): 511. http://dx.doi.org/10.2307/2617909.

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47

Bever, Kerstin, and Julie Rowlett. "Love Games: A Game-Theory Approach To Compatibility." Journal of Humanistic Mathematics 5, no. 1 (2015): 82–104. http://dx.doi.org/10.5642/jhummath.201501.05.

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48

Becking, Bob. "Biblical Games: Game Theory and the Hebrew Bible." Ars Disputandi 3, no. 1 (2003): 91–93. http://dx.doi.org/10.1080/15665399.2003.10819770.

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49

Akiyama, E., and K. Kaneko. "Dynamical systems game theory and dynamics of games." Physica D: Nonlinear Phenomena 147, no. 3-4 (2000): 221–58. http://dx.doi.org/10.1016/s0167-2789(00)00157-3.

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50

Charron, William. "Greeks and games: Forerunners of modern game theory." Forum for Social Economics 29, no. 2 (2000): 1–32. http://dx.doi.org/10.1007/bf02779101.

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