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Game Theory - Extensive Games with Perfect Information
Rating: 4.2 out of 5(2 ratings)
833 students

Game Theory - Extensive Games with Perfect Information

Master Extensive Games with Perfect Information in Game Theory!
Created byLucas Bazilio
Last updated 5/2025
English

What you'll learn

  • Model extensive form games with perfect information using game trees.
  • Understand and apply the concept of backward induction to solve games.
  • Identify and analyze subgame perfect equilibria in multi-stage decision problems.
  • Distinguish between different types of strategies and outcomes in extensive games.

Course content

1 section5 lectures1h 10m total length
  • Extensive Games and Perfect Information4:49

    In this lecture, we introduce extensive games and perfect information in game theory.

  • Graphs and Trees16:53

    In this lecture, we introduce graphs and trees, which are essential for representing extensive-form games.

  • Definitions18:23

    In this lecture, we introduce the definitions of extensive form with perfect information and extensive games with perfect information, laying the foundation for analyzing sequential decision-making in game theory.

  • Backward Induction11:16

    In this lecture, we study backward induction.

  • Strategies in Perfect-Information Games19:14

    In this lecture, we study strategies in perfect-information games.

Requirements

  • Basic notions of game theory.

Description

Master Extensive Games with Perfect Information: A Game Theory Course

Unlock the foundations of strategic thinking with this comprehensive course on Extensive Games with Perfect Information, a key concept in Game Theory. Whether you're a student of economics, mathematics, computer science, or simply curious about decision-making in sequential settings, this course will give you a solid theoretical and practical understanding of how rational agents interact in dynamic environments.

What You'll Learn:

  • The formal structure of extensive-form games

  • Game trees and representation of sequential decisions

  • The concept of subgame perfection and backward induction

  • Strategies and payoffs in dynamic games

  • How to model and analyze multi-stage decision problems with complete transparency

Why Take This Course?

This course provides clear, step-by-step explanations and examples that demystify complex ideas. It is perfect for learners who want:

  • A rigorous yet accessible introduction to game theory

  • To develop strategic reasoning for economics, AI, political science, or business applications

  • To strengthen their academic foundation in preparation for advanced courses or research

Course Features:

  • Intuitive visualizations using game trees and diagrams

  • Theoretical insights grounded in formal definitions

  • Practical problem-solving and real-world applications

  • Lectures created and explained by a mathematician and computer scientist

By the end of this course, you'll be equipped with the analytical tools to confidently model, interpret, and solve extensive-form games with perfect information—laying a strong foundation for further study in game theory and strategic decision-making.

Who this course is for:

  • Students studying economics, political science, or game theory who want to deepen their understanding of extensive games.