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1

Aubin, Jean Pierre. Mathematical methods of game and economic theory. Mineola, N.Y: Dover Publications, 2007.

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2

Karlin, Samuel. Mathematical methods and theory in games, programming, and economics. New York: Dover, 1992.

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3

Ferenc, Forgó. Introduction to the theory of games: Concepts, methods, applications. Dordrecht: Kluwer Academic Publishers, 1999.

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4

Karlin, Samuel. Mathematical methods and theory in games, programming andeconomics. New York: Dover Pubns., 1992.

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5

1942-, Jørgensen Steffen, Quincampoix Marc, and Vincent Thomas L, eds. Advances in dynamic game theory: Numerical methods, algorithms and applications to ecology and economics. Boston: Birkhäuser, 2007.

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6

Krzysztof, Szajowski, and SpringerLink (Online service), eds. Advances in Dynamic Games: Theory, Applications, and Numerical Methods for Differential and Stochastic Games. Boston: Springer Science+Business Media, LLC, 2011.

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7

Cardaliaguet, Pierre. Advances in Dynamic Games: Theory, Applications, and Numerical Methods for Differential and Stochastic Games. Boston: Birkhäuser Boston, 2012.

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8

Vlasov, Dmitriy, Nikolay Tihomirov, and Evgeniy Smirnov. Introduction to Game Theory. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1513124.

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The textbook discusses the basic concepts of classical game theory in a simple and accessible form and presents its applications in the practice of decision-making. Particular attention is paid to the logic of game-theoretic analysis of economic situations that require quantitative justification of decisions. The considered game models and methods of their research, including logical and mathematical apparatus, have distinct and understandable economic applications for undergraduate students. Meets the requirements of the federal state educational standards of higher education of the latest generation. It is addressed to undergraduate students of economic and managerial fields who need to get acquainted with the basic concepts of game theory, but it can be useful to students of other fields of study, as well as to anyone who has a lack of competence in the field of decision-making techniques and methods.
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9

P, Tsokos Chris, and SpringerLink (Online service), eds. Stochastic Differential Games. Theory and Applications. Paris: Atlantis Press, 2012.

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10

service), SpringerLink (Online, ed. Path Player Games: Analysis and Applications. Boston, MA: Springer-Verlag US, 2009.

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11

Lewin, Joseph. Differential Games: Theory and Methods for Solving Game Problems with Singular Surfaces. London: Springer London, 1994.

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12

Gil-Lafuente, Anna M. Soft Computing in Management and Business Economics: Volume 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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13

Aliev, Rafik Aziz. Fundamentals of the Fuzzy Logic-Based Generalized Theory of Decisions. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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14

Gil-Lafuente, Anna M. Soft Computing in Management and Business Economics: Volume 2. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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15

1952-, Kawohl Bernhard, Cellina Arrigo 1941-, and Ornelas A, eds. Optimal shape design: Lectures given at the joint C.I.M/C.I.M.E. summer school held in Tróia, Portugal, June 1-6, 1998 / c B. Kawohl ... [et al.] ; editors, A. Cellina and A. Ornelas. Berlin: Springer, 2000.

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16

Frédéric, Ferraty, and SpringerLink (Online service), eds. Functional and Operatorial Statistics. Heidelberg: Physica-Verlag Heidelberg, 2008.

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17

A, Pinto Alberto, Rand David A, and SpringerLink (Online service), eds. Dynamics, Games and Science II: DYNA 2008, in Honor of Maurício Peixoto and David Rand, University of Minho, Braga, Portugal, September 8-12, 2008. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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18

Reniers, Genserik. Using Game Theory to Improve Safety within Chemical Industrial Parks. London: Springer London, 2013.

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19

Anders, Rantzer, and SpringerLink (Online service), eds. Distributed Decision Making and Control. London: Springer London, 2012.

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20

Marwala, Tshilidzi. Economic Modeling Using Artificial Intelligence Methods. London: Springer London, 2013.

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21

Ad. J. W. van de Gevel. The Nexus between Artificial Intelligence and Economics. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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22

Aubin, Jean Pierre. Mathematical Methods of Game and Economic Theory: Revised Edition. Dover Publications, 2007.

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23

Kaneko, Mamoru. Game Theory and Mutual Misunderstanding. Springer, 2008.

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24

Aubin, Jean-Pierre. Mathematical Methods of Game and Economic Theory: Revised Edition. Dover Publications, Incorporated, 2013.

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25

Bernhard, Pierre, J. M. Schumacher, Berend Roorda, Jacob C. Engwerda, and Vassili Kolokoltsov. Interval Market Model in Mathematical Finance: Game-Theoretic Methods. Birkhauser Verlag, 2012.

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26

Bernhard, Pierre, Berend Roorda, Jean-Pierre Aubin, Jacob C. Engwerda, J. M. Schumacher, Vassili Kolokoltsov, and Patrick Saint-Pierre. The Interval Market Model in Mathematical Finance: Game-Theoretic Methods. Birkhäuser, 2015.

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27

Bernhard, Pierre, Berend Roorda, and Jacob C. Engwerda. The Interval Market Model in Mathematical Finance: Game-Theoretic Methods. Birkhäuser, 2012.

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28

Mertens, Jean-Francois. Game-Theoretic Methods in General Equilibrium Analysis. Mertens J F Sorin S, 2010.

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29

Klatte, Diethard, and B. Kummer. Nonsmooth Equations in Optimization: Regularity, Calculus, Methods and Applications. Springer London, Limited, 2006.

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30

Klatte, Diethard, and B. Kummer. Nonsmooth Equations in Optimization: Regularity, Calculus, Methods and Applications. Springer, 2010.

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31

Political Game Theory: An Introduction (Analytical Methods for Social Research). Cambridge University Press, 2007.

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32

Mathematical Methods in Counterterrorism. Springer, 2009.

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33

Hicks, David L., Nasrullah Memon, Jonathan David Farley, and Torben Rosenorn. Mathematical Methods in Counterterrorism. Springer, 2014.

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34

Szép, Jenó, Ferenc Forgó, and Ferenc Szidarovszky. Introduction to the Theory of Games: Concepts, Methods, Applications. Springer, 2010.

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35

Modeling Complex Living Systems: A Kinetic Theory and Stochastic Game Approach. Birkhäuser Boston, 2007.

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36

Game Theory and Mutual Misunderstanding: Scientific Dialogues in Five Acts. Springer London, Limited, 2006.

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37

Bonato, Anthony, and Pawel Pralat. Graph Searching Games and Probabilistic Methods. Taylor & Francis Group, 2017.

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38

Bonato, Anthony, and Pawel Pralat. Graph Searching Games and Probabilistic Methods. Taylor & Francis Group, 2017.

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39

Building models by games. Cambridge: Cambridge University Press, 1985.

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40

Advances in Dynamic Games: Theory, Applications, and Numerical Methods. Birkhäuser, 2013.

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41

Schwarze, Silvia. Path Player Games: Analysis and Applications. Springer, 2010.

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42

Mathematical methods and theory in games, programming, and economics. Mineola, N.Y: Dover Publications, 2003.

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43

Tsokos, Chris P., and Kandethody M. Ramachandran. Stochastic Differential Games. Theory and Applications. Atlantis Press (Zeger Karssen), 2014.

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44

Beaufils, Bruno, Olivier Brandouy, and Philippe Mathieu. Artificial Economics: Agent-Based Methods in Finance, Game Theory and Their Applications. Springer London, Limited, 2005.

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45

Forgó, Ferenc, Jeno Szép, and F. Szidarovszky. Introduction to the Theory of Games: Concepts, Methods, Applications (Nonconvex Optimization and Its Applications). Springer, 1999.

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46

Viability Theory: New Directions. Springer, 2011.

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47

Wilson, Gregory, David H. Olwell, and Alyson Wilson. Statistical Methods in Counterterrorism: Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication. Springer London, Limited, 2007.

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48

Numerical Methods in Finance: Bordeaux, June 2010. Springer London, Limited, 2012.

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49

Moral, Pierre Del, René Carmona, Peng Hu, and Nadia Oudjane. Numerical Methods in Finance: Bordeaux, June 2010. Springer, 2014.

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50

Karlin, Samuel, and Z. W. Birnbaum. Mathematical Methods and Theory in Games, Programming, and Economics: Matrix Games, Programming, and Mathematical Economics. Elsevier Science & Technology Books, 2014.

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