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Algorithmic Game Theory

When you'll study it
Semester 2
CATS points
15
ECTS points
7.5
Level
Level 7
Module lead
Jie Zhang

Module overview

This module:

  • Introduces the students to the key issues of interaction of multiple self-interested parties (a.k.a. agents) and gives a broad survey of topics at the interface of theoretical computer science and game theory dealing with such interactions.
  • Provides the theoretical background and practical tools to solve problems arising in settings with self-interested participants, to predict possible behaviour and outcomes, and finally, to design multi-agent systems that would incentivise desirable behaviour.
  • Introduces the students to the specifics of computational game-theoretic techniques in different application areas, ranging from multi-agent systems, electronic marketplaces and networked computer systems to computational biology and social networks.
  • Extends and advances the knowledge obtained in other AI modules (in particular, COMP6203 Intelligent Agents).
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