Advanced Certificate in Behavioral Game Theory Fundamentals and Decision Making
-- ViewingNowThe Advanced Certificate in Behavioral Game Theory Fundamentals and Decision Making is a comprehensive course that delves into the intricacies of decision-making processes and behavioral game theory. This course is essential for professionals seeking to enhance their understanding of human behavior in strategic environments.
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⢠Advanced Concepts in Game Theory: An in-depth study of the fundamental principles and advanced topics in game theory, including strategic decision-making, Nash equilibrium, and dominance solvers.
⢠Behavioral Game Theory: An exploration of how psychological, social, and emotional factors influence decision-making in strategic situations, and how game theory can be used to predict and analyze these behaviors.
⢠Game Theory in Economics: The application of game theory to economic problems, including oligopolies, auctions, and public goods, and the study of how game theory can be used to understand and predict market behavior.
⢠Behavioral Decision Making: The study of how individuals make decisions under uncertainty, considering factors such as cognitive biases, heuristics, and prospect theory. This unit will also cover the application of behavioral decision making in fields such as finance, marketing, and public policy.
⢠Game Theory in Political Science: The use of game theory to understand and predict political behavior, including negotiations, conflicts, and elections. This unit will cover various models and applications of game theory in political science, such as the prisoner's dilemma, chicken game, and battle of the sexes.
⢠Game Theory in Conflict Resolution: The use of game theory to resolve conflicts and disputes, including diplomatic negotiations, labor disputes, and environmental conflicts. This unit will cover various models and applications of game theory in conflict resolution, such as the Nash bargaining solution and the Rubinstein bargaining model.
⢠Game Theory in Networks: The study of how game theory can be used to understand and analyze complex networks, including social networks, communication networks, and transportation networks. This unit will cover various models and applications of game theory in networks, such as the network formation game and the link creation game.
⢠Game Theory in Artificial Intelligence: The use of game theory to develop intelligent agents and systems, including multi-agent systems, machine learning, and robotics. This unit will cover various models and applications of game theory in artificial intelligence, such as the repeated prisoner's dilemma and the iterated elimination of dominated strategies.
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