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Articoli di riviste sul tema "Game theory"

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Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 7 luglio 2024

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1

M. Ferreira, Manuel Alberto, e Maria Cristina Peixoto Matos. "Game theory and coopetition". Journal of Economics and Engineering 5, n. 1 (30 aprile 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, n. 2 (7 dicembre 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 where human decisions differ from game theoretic solution concepts and how games have been used to develop AI/ML. It concludes by suggesting what classes of problems will be amenable to AI/ML, and which will not. It goes on to propose a method for evolving human/artificial intelligence.FindingsGame theoretic solution concepts inform classes of problems where AI/ML 'solutions' will be suspect. The complexity of the subject requires a campaign of learning.Originality/valueThough games have been essential to the development of AI/ML, practitioners have yet to employ game theory to understand its limitations.

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3

Goodwin, Paul. "Forecasting games: can game theory win?" International Journal of Forecasting 18, n. 3 (luglio 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, n. 9 (settembre 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 e Somasundaram Ravindran. "Game Theory for Computer Games Design". Games and Culture 14, n. 7-8 (12 novembre 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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Fudenberg, Drew, e David K. Levine. "Whither Game Theory? Towards a Theory of Learning in Games". Journal of Economic Perspectives 30, n. 4 (1 novembre 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 e Richard H. Middleton. "Game Theory". International Journal of Ambient Computing and Intelligence 3, n. 3 (luglio 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 are better suited to their environment. As the models evolve, structures, patterns and behaviors emerge that were not explicitly programmed into the original models, but which instead surface through the agent interactions with each other and their environment. This paper advocates the use of such agent based models for analysing patient-therapist interactions with a view to designing more efficient and effective robotic controllers for automated therapeutic intervention in motor rehabilitation. The authors demonstrate in a simplified implementation the effectiveness of this approach through simulating known behavioral patterns observed in real patient-therapist interactions, such as learned dependency.

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8

Rubinstein, Ariel, Drew Fudenberg e Jean Tirole. "Game Theory." Economica 60, n. 238 (maggio 1993): 245. http://dx.doi.org/10.2307/2554596.

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9

Eichberger, Jurgen, Drew Fudenberg, Jean Tirole e Roger B. Myerson. "Game Theory." Economic Journal 103, n. 419 (luglio 1993): 1065. http://dx.doi.org/10.2307/2234726.

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10

Paturel, Amy. "Game Theory". Neurology Now 10, n. 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, n. 1 (gennaio 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, n. 2 (aprile 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, n. 2 (15 ottobre 2010): 167–73. http://dx.doi.org/10.1002/wcs.119.

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14

Babu, P. G. "Game theory". Resonance 3, n. 7 (luglio 1998): 53–60. http://dx.doi.org/10.1007/bf02837313.

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15

Babu, P. G. "Game theory". Resonance 3, n. 8 (agosto 1998): 46–55. http://dx.doi.org/10.1007/bf02837345.

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16

Cossins, Daniel. "Game theory". New Scientist 228, n. 3051 (dicembre 2015): 36. http://dx.doi.org/10.1016/s0262-4079(15)31762-0.

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17

Britten, Anna. "Game theory". Significance 20, n. 6 (1 dicembre 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., e D. K. Levine. "Whither game theory? Towards a theory oflearning in games". Voprosy Ekonomiki, n. 5 (20 maggio 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, n. 1 (gennaio 1994): 32–54. http://dx.doi.org/10.1006/game.1994.1002.

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20

Glynatsi, Nikoleta, e Vincent Knight. "Game Theory and Python: An educational tutorial to game theory and repeated games using Python". Journal of Open Source Education 4, n. 39 (24 maggio 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 simple strategy game. FPS (First Person Shooter) game is a sort of video game that is a complex strategy game. In analyzing this type of game, the paper draws images to show the imbalance in the game. In the end, the article puts forward the prospect that game theory can contribute to game design. The approach adopted in this study integrates existing research in game theory with practical insights from game design, without delving into extensive theoretical derivations or complex formulas.

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22

Ray, Indrajit, e Lin Zhou. "Game Theory via Revealed Preferences". Games and Economic Behavior 37, n. 2 (novembre 2001): 415–24. http://dx.doi.org/10.1006/game.2001.0845.

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23

Wasow, Thomas. "Binding theory meets game theory". Semiotica 98, n. 1-2 (1 settembre 1994): 187–98. http://dx.doi.org/10.1515/semi-1994-981-211.

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24

Khouzani, MHR, e Pasquale Malacaria. "Information Theory in Game Theory". Entropy 20, n. 11 (24 ottobre 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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25

Michel, Arij. "Evolutionary Game Theory". International Journal of Circular Economy and Waste Management 1, n. 2 (luglio 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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26

Ortmann, Andreas, e Jorgen W. Weibull. "Evolutionary Game Theory". Southern Economic Journal 63, n. 3 (gennaio 1997): 834. http://dx.doi.org/10.2307/1061129.

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27

Hopkins, Ed. "Evolving Game Theory". Journal of Economic Surveys 11, n. 1 (marzo 1997): 101–6. http://dx.doi.org/10.1111/1467-6419.00025.

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28

Fudenberg, Drew, Jörgen W. Weibull e Jorgen W. Weibull. "Evolutionary Game Theory". Scandinavian Journal of Economics 98, n. 3 (settembre 1996): 461. http://dx.doi.org/10.2307/3440739.

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29

Munro, Alistair. "Evolutionary Game Theory." Economic Journal 107, n. 440 (1 gennaio 1997): 218–19. http://dx.doi.org/10.1093/ej/107.440.218.

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30

Krueger, Joachim I. "Heuristic game theory." Decision 1, n. 1 (2014): 59–61. http://dx.doi.org/10.1037/dec0000002.

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31

Kline, J. Jude. "Basic Game Theory". Australian Economic Review 33, n. 4 (dicembre 2000): 381–87. http://dx.doi.org/10.1111/1467-8462.00170.

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32

RAPOPORT, ANATOL. "Game Theory Defined". Rationality and Society 4, n. 1 (gennaio 1992): 74–82. http://dx.doi.org/10.1177/1043463192004001009.

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33

Roughgarden, Tim. "Algorithmic game theory". Communications of the ACM 53, n. 7 (luglio 2010): 78–86. http://dx.doi.org/10.1145/1785414.1785439.

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34

Sigmund, Karl, e Martin A. Nowak. "Evolutionary game theory". Current Biology 9, n. 14 (luglio 1999): R503—R505. http://dx.doi.org/10.1016/s0960-9822(99)80321-2.

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35

Aghassi, Michele, e Dimitris Bertsimas. "Robust game theory". Mathematical Programming 107, n. 1-2 (2 febbraio 2006): 231–73. http://dx.doi.org/10.1007/s10107-005-0686-0.

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36

Smith, John Maynard. "Evolutionary game theory". Physica D: Nonlinear Phenomena 22, n. 1-3 (ottobre 1986): 43–49. http://dx.doi.org/10.1016/0167-2789(86)90232-0.

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37

Velegol, Darrell, Paul Suhey, John Connolly, Natalie Morrissey e Laura Cook. "Chemical Game Theory". Industrial & Engineering Chemistry Research 57, n. 41 (14 settembre 2018): 13593–607. http://dx.doi.org/10.1021/acs.iecr.8b03835.

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38

Van Damme, Eric. "Evolutionary game theory". European Economic Review 38, n. 3-4 (aprile 1994): 847–58. http://dx.doi.org/10.1016/0014-2921(94)90121-x.

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39

Illius, Andrew. "Big-game theory". Nature 429, n. 6991 (giugno 2004): 504–5. http://dx.doi.org/10.1038/429504a.

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40

Hausman, Daniel M. "‘Testing’ game theory". Journal of Economic Methodology 12, n. 2 (giugno 2005): 211–23. http://dx.doi.org/10.1080/13501780500086065.

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41

Richter, Michael, e Ariel Rubinstein. "Holding a Group Together: Non-Game Theory Versus Game Theory". Economic Journal 131, n. 638 (26 marzo 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 yields more attractive outcomes than does Nash equilibrium in the corresponding game.

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42

Crogan, Patrick. "The Game Thing: Ludology and other Theory Games". Media International Australia 110, n. 1 (febbraio 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 productive potential by means of consideration of The Thing game and its relation to John Carpenter's cinematic iteration of the original short story from which it is adapted. This consideration leads away from the question of the specificity of the computer game object to some concluding speculations about the relation of contemporary computer games to the broader computer culture within which games are taking on an increasingly significant profile.

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43

Wu, Wentao. "Theory and Practical Application Based on Game Theory". BCP Business & Management 44 (27 aprile 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 prisoner's dilemma, concordance fallacy, median voter theorem, Gounod model, Bertrand model, iterative deletion of dominated strategy, etc. through specific cases. The research results show that game theory has been widely used in the economy. For bilateral games, the results of Nash equilibrium are unstable. The research in this paper broadens the theory of game theory and has important practical significance for the application research of game theory.

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44

Ahmad, Foysal, Kaushik Roy, Brian O‟Connor, Joseph Shelton, Pablo Arias, Albert Esterline e Gerry Dozier. "Facial Recognition Utilizing Patch Based Game Theory". International Journal of Machine Learning and Computing 5, n. 4 (agosto 2015): 334–38. http://dx.doi.org/10.7763/ijmlc.2015.v5.530.

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45

Özpala, Atilla, Mehmet Önder Efe e Hayri Sever. "Multiple UAV Engagement Decision by Game Theory". International Journal of Computer and Electrical Engineering 9, n. 1 (2017): 384–92. http://dx.doi.org/10.17706/ijcee.2017.9.1.384-392.

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46

Bellany, Ian. "Superpower games: applying game theory to superpower conflict". International Affairs 62, n. 3 (1986): 511. http://dx.doi.org/10.2307/2617909.

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47

Bever, Kerstin, e Julie Rowlett. "Love Games: A Game-Theory Approach To Compatibility". Journal of Humanistic Mathematics 5, n. 1 (gennaio 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, n. 1 (gennaio 2003): 91–93. http://dx.doi.org/10.1080/15665399.2003.10819770.

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49

Akiyama, E., e K. Kaneko. "Dynamical systems game theory and dynamics of games". Physica D: Nonlinear Phenomena 147, n. 3-4 (dicembre 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, n. 2 (gennaio 2000): 1–32. http://dx.doi.org/10.1007/bf02779101.

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