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Athabasca University

Section 3 : Multiagent decision-making and game theory

Commentary

Section Goals

  • To introduce basic concepts and principles of game theory, and their use in agent and multiagent design.

Learning Objectives

Learning Objective 1

  • Outline game theory, and describe how it can help in agent and multiagent design.
  • Define mechanism, and exemplify several types of auction.
  • Explain the following concepts or terms:
    • Game theory
    • Mixed strategy
    • Nash equilibrium
    • Zero-sum games
    • Mechanism design
    • Inverse game theory
    • English auction
    • Sealed bid auction
    • Strategy-proof mechanism

Objective Readings

Required readings:

Reading topics:

Decisions with Multiple Agents, Game Theory and Mechanism Design (see Sections 17.5 - 17.6 of AIMA3ed)

Stone, P., Schapire, R. E., Littman, M. L., Csirik, J. A., and McAllester, D. (2003) Decision-theoretic bidding based on learned density models in simultaneous, interacting auctions. Journal of Artificial Intelligence Research, 19, 209-242.

Objective Questions

  • How can mechanism design be used to construct intelligent multiagent systems?

Objective Activities

  • Explore recent papers in game theory based on multiagent design and mechanism design. Report and discuss your findings in the course conference.
  • Complete Exercise 17.17 of AIMA3ed.

Updated November 17 2015 by FST Course Production Staff