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Master the concepts of game theory. Course covers problems of perfect and imperfect information, zero-sum and non-zero-sum games, behaviors as streamlines, irrational & time-dependent behaviors.
Summary
This course extends classic game theory concepts by introducing a dynamic model extension of game theory. Use a decision process theory (DPT) toolkit based on Wolfram Language to work though the course. The DPT toolkit allows for the prioritization of conceptual understanding over mathematical equation solving, making concepts accessible to not only engineers but also to a more general audience, with applications to business, economics, project management and social behaviors. The course begins with classical topics in game theory and includes an approach to dynamic behavior using streamlines, a concept carried over from fluid flow dynamics. See how game theory can be extended with ideas from geometry, physics and engineering. The author is Professor Gerald H. Thomas, the instructor of a successful engineering course and author of A Field Theory of Games, Volume 1 and Volume 2. Wolfram AI Course Assistant is available for this interactive course.
Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
You'll Learn To
Solve classical game theory problems in normal form
Distinguish solutions for zero-sum and non-zero-sum games
Use differential geometry and decision process theory to define a player and codes of conduct
Think of behaviors in games as flows and compute their streamlines to capture more of the dynamics
Understand how to apply a generalized Nash equilibrium for non-zero-sum games such as Chicken and Prisoner's Dilemma
Incorporate irrational behaviors in decision process theory
Use stresses to formalize the concept of ownership as well as to account for games with non-perfect information
Apply stationary flow examples to time-dependent behaviors
Summary
This course extends classic game theory concepts by introducing a dynamic model extension of game theory. Use a decision process theory (DPT) toolkit based on Wolfram Language to work though the course. The DPT toolkit allows for the prioritization of conceptual understanding over mathematical equation solving, making concepts accessible to not only engineers but also to a more general audience, with applications to business, economics, project management and social behaviors. The course begins with classical topics in game theory and includes an approach to dynamic behavior using streamlines, a concept carried over from fluid flow dynamics. See how game theory can be extended with ideas from geometry, physics and engineering. The author is Professor Gerald H. Thomas, the instructor of a successful engineering course and author of A Field Theory of Games, Volume 1 and Volume 2. Wolfram AI Course Assistant is available for this interactive course.
Featured Products & Technologies: Wolfram Language (available in Mathematica and Wolfram|One)
You'll Learn To
Solve classical game theory problems in normal form
Distinguish solutions for zero-sum and non-zero-sum games
Use differential geometry and decision process theory to define a player and codes of conduct
Think of behaviors in games as flows and compute their streamlines to capture more of the dynamics
Understand how to apply a generalized Nash equilibrium for non-zero-sum games such as Chicken and Prisoner's Dilemma
Incorporate irrational behaviors in decision process theory
Use stresses to formalize the concept of ownership as well as to account for games with non-perfect information
Apply stationary flow examples to time-dependent behaviors
