Game Theory

COURSE DUARATION :8 Weeks

@VTU COE

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(0) 43 Students
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What you will learn

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Game theory models conflict and cooperation between decision makers who are assumed to be rational. It has applications in multiple disciplines and areas. The aim of this course is to introduce the following topics at a basic level: combinatorial games, zero-sum games, non-zero sum games and cooperative games. Learning outcomes for the course: At the end of the course, the student should be able to Model and analyse conflicting situations using game theory.

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Lecture 6: Combinatorial Games: Sprague-Grundy Theorem - I
Preview 29:22
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Lecture 7: Combinatorial Games: Sprague-Grundy Theorem - II
Preview 26:11
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Lecture 8: Combinatorial Games: Sprague-Grundy Theorem - III
Preview 28:51
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Lecture 9: Combinatorial Games: The Sylver Coinage Game
Preview 32:05
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Lecture 10: Zero-Sum Games: Introduction and examples
Preview 33:02

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Lecture 11 : Zero-Sum Games: Saddle Point Equilibria & the Minimax Theorem
Preview 36:59
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Lecture 12 : Zero-Sum Games: Mixed Strategies
Preview 26:00
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Lecture 13 : Zero-Sum Games: Existence of Saddle Point Equilibria
Preview 29:12
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Lecture 14 : Zero-Sum Games: Proof of the Minimax Theorem
Preview 35:13
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Lecture 15 : Zero-Sum Games: Properties of Saddle Point Equilibria
Preview 32:33

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Lecture 16 : Zero-Sum Games: Computing Saddle Point Equilibria
Preview 30:10
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Lecture 17 : Zero-Sum Games: Matrix Game Properties
Preview 30:50
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Lecture 18 : Non-Zero-Sum Games: Introduction and Examples
Preview 28:20
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Lecture 19 : Non-Zero-Sum Games: Existence of Nash Equilibrium Part I
Preview 34:13
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Lecture 20 : Non-Zero-Sum Games: Existence of Nash Equilibrium Part II
Preview 34:39

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Lecture 21 : Iterated elimination of strictly dominated strategies
Preview 26:35
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Lecture 22 : Lemke-Howson Algorithm I
Preview 29:28
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Lecture 23 : Lemke-Howson Algorithm II
Preview 26:56
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Lecture 24 : Lemke-Howson Algorithm III
Preview 30:43
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Lecture 25 : Evolutionary Stable Strategies -I
Preview 24:59

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Lecture 26 : Evolutionarily Stable Strategies - II
Preview 28:09
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Lecture 27 : Evolutionarily Stable Strategies - III
Preview 34:36
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Lecture 28 : Fictitious Play
Preview 33:33
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Lecture 29 : Brown-Von Neumann-Nash Dynamics
Preview 38:15
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Lecture 30 : Potential Games
Preview 27:37

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Lecture 31 : Cooperative Games: Correlated Equilibria
Preview 32:14
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Lecture 32 : Cooperative Games: The Nash Bargaining Problem I
Preview 28:32
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Lecture 33 : Cooperative Games: The Nash Bargaining Problem II
Preview 39:04
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Lecture 34 : Cooperative Games: The Nash Bargaining Problem III
Preview 31:59
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Lecture 35 : Cooperative Games: Transferable Utility Games
Preview 27:21

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Lecture 36 : Cooperative Games: The Core
Preview 28:36
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Lecture 37 : Cooperative Games: Characterization of Games with non-empty Core
Preview 27:31
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Lecture 38 : Cooperative Games: Shapley Value
Preview 29:00
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Lecture 39 : Cooperative Games: The Nucleolus
Preview 26:49
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Lecture 40 : The Matching Problem
Preview 30:25
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Meet Your Instructor
@VTU COE
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Instructor
3.3 Rating
8558 Students
802 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

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Free

  • Course Duration
    20 h 13 m 48 s
  • Course Level
    Intermediate
  • Student Enrolled
    43
  • Language
    English
This Course Includes
  • 20 h 13 m 48 s Video Lectures
  • 2 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion