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Athabasca University

Section 1 : Optimal decisions in games

Commentary

Section Goals

  • To discuss the basic concepts of adversarial search problems (i.e., games).
  • To introduce the components needed to search for game problems, and the optimal strategies for two player MAX and MIN games.

Learning Objectives

Learning Objective 1

  • Explain the following concepts or terms:
    • Adversarial search and games
    • Mathematical game theory
    • Perfect and imperfect information
    • Game tree
    • MAX and MIN in games with two players
    • Minimax value
  • Outline the components of search problem for games.
  • Exemplify the minimax-value function.

Objective Readings

Required readings:

Reading topics:

Games, Optimal Decisions in Games, Optimal Strategies (see Sections 5.1 and 5.2 of AIMA3ed).

Supplemental Readings

AI Topics: Games

Objective Questions

  • What is the difference between mathematical game theory and the AI games introduced in this unit?
  • How can search be used for game programming, and what makes a game search different from a single agent search?

Objective Activities

  • Try to find some books on AI Games or Game AI, and compare them with games presented in this course.

Updated December 16 2021 by FST Course Production Staff