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COMP 4116

Multiagent Systems

0.5 credit · Undergraduate

Multiagent systems is a branch of artificial intelligence that explores the interactions between multiple rational entities, where each may have access to different information and possibly conflicting priorities. This course takes an approach founded on economic game theory.

2026

Topics

  • Game Theory and Game Forms
  • Computation of game theoretic solution concepts
  • Bounded rationality
  • Social choice
  • Mechanism design
  • Auctions (single item, combinatorial, sponsored search)
  • Fair division of resources
  • Teams and coalitions
  • Multiagent learning
  • Applications of multiagent systems
  • More information will be released as we approach November.

Readings

  • Primary Textbook Y. Shoham, K. Leyton-Brown, Multiagent Systems: Algorithmic Game-Theoretic, and Logical Foundations, Cambridge University Press, 2009.
  • Other Useful References N. Nisan, T. Roughgarden, E. Tardos, and V. Vazirani (Eds.), Algorithmic Game Theory, Cambridge University Press, 2007.
  • M. Osborne and A. Rubinstein, A Course in Game Theory, MIT Press, 1994.
  • Y. Shoham, K. Leyton-Brown, Multiagent Systems: Algorithmic Game-Theoretic, and Logical Foundations, Cambridge University Press, 2009.

Prerequisites & course information

Prerequisite(s): COMP 3106 . Lectures three hours a week.

Sources