Czech

Not applicable.

Students will get a wide knowledge of game theory and a plenty of its applications in engineering and social sciences. When passed the course, the students will be able to create a simple model of given game situation and predict its probable future evolution.
In more general level, the study of rational decision making give a certain skills of problem analysis, selecting possible strategies and actions leading to its solving, assigning some utility to the strategies and finally, to accept a best decision in that situation. Mathematical game models also present clearly solutions to many problems in every day life. Moreover, the course introduces and plenty of applications of the computer science to natural and social sciences.

Students should have a basic knowledge of discrete mathematics, algebra and mathematical analysis, as they are basic tools to describe the studied problems. Basics of artificial intelligence and computer modelling are also required.

Not applicable.

Not applicable.

Students have to release a individually made project which will be evaluated at least with one half of points (20 points from 40).

Not applicable.

Not applicable.

The THE course is going to give the students certain education in area of rational strategic decision making in conflict situations, to learn them creating models of such situations, to analyze the situations through the models and in some cases to predict future evolution of the modeled systems. The course extends the education of artificial intelligence with strategic decision making. Applications and use will be oriented to the computer science (control, decisions, safety and security, games, networking) and also to social sciences like economics, sociology and political sciences.

Individual project and final exam. The final exam has two alternativies.
The minimal number of points which can be obtained from the final exam is 20. Otherwise, no points will be assigned to a student.

Not applicable.

Not applicable.

Not applicable.

Cesa-Bianci, N., Lugosi, G.: Prediction, Learning, and Games, Cambridge University Press, 2006
Dorfman, R., Samuelson, P.A., Solow, R. M.: Linear Programming and Economic Analysis, Dover Publications, 1986
Dresher, M.: The Mathematics of Games of Strategy, Theory and Applications, Dover Publications, 1981
Dugatkin, L., Reeve, H.: Game Theory and Animal Behavior, Oxford University Press, 1988
Fudenberg, D., Tirole, J.: Game Theory, MIT Press, 1991
Gibbons, R.: Game Theory for Applied Economists, Princeton University Press, 1992
Gintis, H.: Game Theory Evolving, Princeton University Press, 2000
Hespanha, J. P.: Noncooperative Game Theory: An Introduction for Engineers and Computer Scientists, Princeton University Press, 2017
Kreps, D.: Game Theory and Economic Modelling, Oxford University Press, 1990
Krishna, V.: Auction Theory, Elsevier, 2002
Mailath, G., Samuelson, L.: Repeated Games and Reputations, Oxford University Press, 2006
McCarty, N., Mierowitz, N.: Political Game Theory: An Introduction, Cambridge University Press, 2007
Miller, J.: Game Theory at Work, McGraw-Hill, 2003
Morrow, J.: Game Theory for Political Scientists, Princeton University Press, 1994
Osbourne, M.J., Rubinstein, A.: A Course in Game Theory, MIT Press, 1994
Rasmunsen, E.: Games and Information, Blackwell Publishing, 2007
Shubik, M.: Game Theory in the Social Sciences: Concepts and Solutions, MIT Press, 1984
Schelling, T. S. : The Strategy of Conflict, Harvard Press, 1980
Straffin, P.D.: Game Theory and Strategy, The Mathematical Association of America, 2003
various authors: Algorithmic Game Theory, edited by Noam Nisan, Cambridge University Press, 2006
various authors: Classics in Game Theory, edited by Harold W. Kuhn, Princetown University Press, 1997
von Neumann, J.,  Morgenstern, O.: Theory of Games and Economic Behavior, Princeton University Press, 1944