Bibliografie tematiche / Game theory

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Letteratura scientifica selezionata sul tema "Game theory"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Game theory"

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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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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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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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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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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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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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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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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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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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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Tesi sul tema "Game theory"

Novak, K. "Game theory." Thesis, Sumy State University, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46882.

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Game theory is a section of applied mathematics that studies various mathematical models of optimal decision making in conflict situations. J. Von Neumann and O. Monhenshternom in 1944 wrote the work "Theory of Games and Economic Behavior." From the very beginning of its development, it was aimed at solving economic problems. Later it began to be applied in other areas related to the conflict. Theoretical and playing methods of optimal solutions are widely used in medicine, in economic and social planning and forecasting, and other matters of science and technology.Today, the game theo

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Mehta, Aranyak. "Algorithmic Game Theory." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7220.

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The interaction of theoretical computer science with game theory and economics has resulted in the emergence of two very interesting research directions. First, it has provided a new model for algorithm design, which is to optimize in the presence of strategic behavior. Second, it has prompted us to consider the computational aspects of various solution concepts from game theory, economics and auction design which have traditionally been considered mainly in a non-constructive manner. In this thesis we present progress along both these directions. We first consider optimization problems that a

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Majure, William Robert. "Disequilibrium game theory." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/11660.

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Blankinship, Erik Jackson 1974. "Who's got game (theory)?" Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33877.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.<br>Includes bibliographical references (leaves 85-88).<br>Many players enjoy the challenge of outwitting computer opponents in strategy games. Devising strategies to defeat a computer opponent may enhance certain cognitive skills (e.g., analysis, evaluation, planning). This thesis takes a constructionist approach to gaming, hypothesizing that players may learn more about strategic planning by building their own computer opponents and then playing them to unders

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Rigos, Alexandros. "Essays in game theory." Thesis, University of Leicester, 2016. http://hdl.handle.net/2381/37520.

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This thesis explores interactions among agents whose rationality is bounded in distinct ways. It consists of three self-contained chapters/papers. Chapters 2 and 3 consider myopic and hard-wired strategy revisions based on evolutionary game dynamics, while Chapter 4 deals with rationally inattentive agents who acquire costly information in a flexible manner. The thesis, thus, spans two extremes of the range of models with boundedly rational agents. The first paper proposes a novel way to formalize matching mechanisms in evolutionary games. The proposed formalization nests group selection model

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CAPPELLETTI, GIUSEPPE. "Essays in game theory." Doctoral thesis, Università Bocconi, 2005. http://hdl.handle.net/11565/4050398.

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Leclerc, Philip. "Prospect Theory Preferences in Noncooperative Game Theory." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3522.

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The present work seeks to incorporate a popular descriptive, empirically grounded model of human preference under risk, prospect theory, into the equilibrium theory of noncooperative games. Three primary, candidate definitions are systematically identified on the basis of classical characterizations of Nash Equilibrium; in addition, three equilibrium subtypes are defined for each primary definition, in order to enable modeling of players' reference points as exogenous and fixed, slowly and myopically adaptive, highly flexible and non-myopically adaptive. Each primary equilibrium concept was an

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Ramström, Ola. "Visual attention using game theory." Licentiate thesis, KTH, Numerical Analysis and Computer Science, NADA, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-349.

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Jiang, Ge. "Essays in evolutionary game theory." Thesis, University of Essex, 2016. http://repository.essex.ac.uk/16917/.

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This thesis contains three essays in evolutionary game theory. In the first chapter, we study the impact of switching costs on the long run outcome in 2X2 coordination games played in the circular city model of local interactions. We find that for low levels of switching costs, the risk dominant convention is the unique long run equilibrium. For intermediate levels of switching costs the set of long run equilibria contains the risk dominant convention but may also contain conventions that are not risk dominant. For high levels of switching costs also nonmonomorphic states will be included in t

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Dal, Borgo Maria Manuela Wagner. "Thucydides : father of game theory." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1507820/.

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In this thesis, I interpret Thucydides’ History of the Peloponnesian War utilizing models of game theory to distil the abstract strategic structures that Thucydides illuminates. It is possible by close analysis of the narrative to extract an implicit descriptive theory embedded in the narrative, never made explicit but a consistent presence wherever characters, groups and nations interact. Game theory in its informal structure (i.e. without deploying the full formal apparatus of mathematics) offers a valuable extension to narratology, a narrative theory already successfully introduced into Cla

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Libri sul tema "Game theory"

Gillman, Richard Alan, and David Housman. Game Theory. Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9781315156880.

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McEachern, Andrew. Game Theory. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-031-02118-3.

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Eatwell, John, Murray Milgate, and Peter Newman, eds. Game Theory. Palgrave Macmillan UK, 1989. http://dx.doi.org/10.1007/978-1-349-20181-5.

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Rosenmüller, Joachim. Game Theory. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4757-3212-2.

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Peters, Hans. Game Theory. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46950-7.

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Durlauf, Steven N., and Lawrence E. Blume, eds. Game Theory. Palgrave Macmillan UK, 2010. http://dx.doi.org/10.1057/9780230280847.

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Barron, E. N. Game Theory. John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9781118032398.

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Barron, E. N. Game Theory. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118547168.

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Peters, Hans. Game Theory. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69291-1.

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Li, Deng-Feng, ed. Game Theory. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0657-4.

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Capitoli di libri sul tema "Game theory"

Fujiwara-Greve, Takako. "Games in Game Theory." In Non-Cooperative Game Theory. Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55645-9_1.

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Marwala, Tshilidzi, and Evan Hurwitz. "Game Theory." In Artificial Intelligence and Economic Theory: Skynet in the Market. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66104-9_7.

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Aradhye, Chinmay. "Game Theory." In Encyclopedia of Personality and Individual Differences. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_2277.

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Fox, William P., and Robert Burks. "Game Theory." In Applications of Operations Research and Management Science for Military Decision Making. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20569-0_6.

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Papageorgiou, Nikolaos S., and Sophia Th Kyritsi-Yiallourou. "Game Theory." In Advances in Mechanics and Mathematics. Springer US, 2009. http://dx.doi.org/10.1007/b120946_8.

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Vanderbei, Robert J. "Game Theory." In International Series in Operations Research & Management Science. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-74388-2_11.

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Eiselt, H. A., and C. L. Sandblom. "Game Theory." In Decision Analysis, Location Models, and Scheduling Problems. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24722-7_4.

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Carl, Siegfried, and Seppo Heikkilä. "Game Theory." In Fixed Point Theory in Ordered Sets and Applications. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7585-0_8.

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Hurlbert, Glenn H. "Game Theory." In Undergraduate Texts in Mathematics. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-79148-7_9.

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Hwang, Ching-Lai, and Ming-Jeng Lin. "Game Theory." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-61580-1_4.

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Atti di convegni sul tema "Game theory"

Rathore, Rachna, Pranay Sharma, Umesh Chandra Sharma, Abhinash Jenasamanta, S. Shilpa, and Praveen Kumar Sahu. "Game Theory Applications in AI." In 2024 4th International Conference on Advancement in Electronics & Communication Engineering (AECE). IEEE, 2024. https://doi.org/10.1109/aece62803.2024.10911263.

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Gautam, Pooja. "Game theory." In ICWET '10: International Conference and Workshop on Emerging Trends in Technology. ACM, 2010. http://dx.doi.org/10.1145/1741906.1742240.

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Mascareñas-Pazos, A., S. Lorenzo-Freire, and J. M. Alonso-Meijide. "Cooperative Game Theory in Machine Learning." In VII Congreso XoveTIC: impulsando el talento científico. Servizo de Publicacións. Universidade da Coruña, 2024. https://doi.org/10.17979/spudc.9788497498913.25.

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One of the key challenges in constructing a machine learning model is to select the most relevant features for optimal performance, as too many features can diminish model's effectiveness. This article explores the application of Cooperative Game Theory to facilitate such selection. Specifically, we utilize the Shapley value, a well-known solution in cooperative games. The machine learning model is represented as a cooperative game, where the Shapley value assesses the contribution of individual features to the model's overall performance.

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Ghani, Neil, Jules Hedges, Viktor Winschel, and Philipp Zahn. "Compositional Game Theory." In LICS '18: 33rd Annual ACM/IEEE Symposium on Logic in Computer Science. ACM, 2018. http://dx.doi.org/10.1145/3209108.3209165.

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Smith III, James F., and Robert D. Rhyne. "Knowledge discovery through games and game theory." In Aerospace/Defense Sensing, Simulation, and Controls, edited by Belur V. Dasarathy. SPIE, 2001. http://dx.doi.org/10.1117/12.421063.

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Alessio, Danielle, D. Marc Kilgour, Ilias Kotsireas, Roderick Melnik, and Brian West. "Game Theory and Social Psychology: Conformity Games." In ADVANCES IN MATHEMATICAL AND COMPUTATIONAL METHODS: ADDRESSING MODERN CHALLENGES OF SCIENCE, TECHNOLOGY, AND SOCIETY. AIP, 2011. http://dx.doi.org/10.1063/1.3663496.

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Fang, Fei. "Integrating Learning with Game Theory for Societal Challenges." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/894.

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Real-world problems often involve more than one decision makers, each with their own goals or preferences. While game theory is an established paradigm for reasoning strategic interactions between multiple decision-makers, its applicability in practice is often limited by the intractability of computing equilibria in large games, and the fact that the game parameters are sometimes unknown and the players are often not perfectly rational. On the other hand, machine learning and reinforcement learning have led to huge successes in various domains and can be leveraged to overcome the limitations

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Kovařík, Vojtěch, Caspar Oesterheld, and Vincent Conitzer. "Game Theory with Simulation of Other Players." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/312.

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Game-theoretic interactions with AI agents could differ from traditional human-human interactions in various ways. One such difference is that it may be possible to simulate an AI agent (for example because its source code is known), which allows others to accurately predict the agent's actions. This could lower the bar for trust and cooperation. In this paper, we first formally define games in which one player can simulate another at a cost, and derive some basic properties of such games. Then, we prove a number of results for such games, including: (1) introducing simulation into generic-pay

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Li, Yibo, Meixiang Yu, and Xianzhuo Liu. "Event Game Theory and Air Combat Game." In 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics. IEEE, 2009. http://dx.doi.org/10.1109/ihmsc.2009.116.

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Zhang, Shengyu. "Quantum strategic game theory." In the 3rd Innovations in Theoretical Computer Science Conference. ACM Press, 2012. http://dx.doi.org/10.1145/2090236.2090241.

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Rapporti di organizzazioni sul tema "Game theory"

Washburn, Alan R. Notes on Game Theory. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada383137.

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Dimitriou, Panagiotis. CARTEL: a board game for teaching game theory. The Economics Network, 2018. http://dx.doi.org/10.53593/n3132a.

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Ianulardo, Giancarlo. Using Panopto for Game Theory. The Economics Network, 2009. http://dx.doi.org/10.53593/n978a.

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Güner, Serdar. Game Theory and International Politics. Instats Inc., 2024. http://dx.doi.org/10.61700/t65wxs3sl7qn1805.

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This one-day workshop offers a comprehensive understanding of the application of game theory in the complex world of international politics. Ideal for PhD students, academics, and professional researchers, the seminar provides invaluable insights, knowledge, and skills to enhance their analytical capabilities and understanding of game theory in their research.

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Gibbons, Robert. An Introduction to Applicable Game Theory. National Bureau of Economic Research, 1997. http://dx.doi.org/10.3386/t0199.

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Elliott, Caroline. A Lecture on Experimental Game Theory. The Economics Network, 2001. http://dx.doi.org/10.53593/n214a.

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Elveren, Adem. Strategic Learning through Auctions: A Multi-Stage Classroom Game for Teaching Game Theory. The Economics Network, 2025. https://doi.org/10.53593/n4291a.

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Isavnin, A. G. Digital educational resource on the discipline «Game Theory». Ailamazyan Program Systems Institute of Russian Academy of Sciences, 2025. https://doi.org/10.12731/ofernio.2025.25459.

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Güner, Serdar. Game Theory and International Politics (Free 2-Hour Introduction). Instats Inc., 2024. http://dx.doi.org/10.61700/hnujsicvw309c643.

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This free workshop, led by professor Serdar Güner from Bilkent University, explores the application of game theory in international politics, targeting PhD students, professors, and researchers in related fields. Participants will gain comprehensive insights into the strategic interactions within international politics through game theory, learning to apply these concepts to conflict resolution, negotiation, and policy-making. The workshop will be conducted via Zoom and all recordings and materials (including slides) will be availble for 30 days after the conclusion of the workshop.

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Outkin, Alexander V. Teaching Game Theory to Kids and Limits of Prediction. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1459605.

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