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DRPS : Course Catalogue : School of Informatics : Informatics

Postgraduate Course: Algorithmic Game Theory and its Applications (INFR11020)

Course Outline
SchoolSchool of Informatics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Year 4 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryGame theory is the formal study of interaction between "self-interested" (or "goal-oriented") "systems" (or "agents" or "decision makers" or "players"), & strategic scenarios that arise in such settings. It began life in Economics in the 1940's with the work of von Neumann & Morgenstern, but has since been applied to an extraordinary range of subjects, including political science, evolutionary biology & even to inspection regimes for arms control.

Game theory has for years also played an important, if less recognized, role in several branches of computer science. Applications within computer science include the use of games in automated verification & model checking to model computing systems in an unknown and possibly adverse environment. In AI games are applied to the analysis of multi-agent systems. Recently, with the advent of the internet and e-commerce, many game theoretic questions in the interplay between economics & computing have received extensive attention. These include electronic auctions, & more generally mechanism design questions (inverse game theory) related to finding incentive structures for cooperation between independent entities on the internet.

Wherever game theory plays a quantitative role, algorithmic and computational questions related to "solving" games are also of central importance.

This course aims to bring together as a coherent body of knowledge the game theoretic algorithms & models that underpin several flourishing subjects at the intersection of computer science, economics and e-commerce, & AI.
Course description * Examples of diverse games.
* Zero-sum two-person games: LP, simplex, LP-duality, mixed strategies and the minimax theorem.
* General games in strategic form:
o Equilibria and Nash's theorem.
o 2-player equilibria: Lemke-Howson algorithm and its variants.
* Games in Extensive form (mainly zero-sum, perfect information):
o Game trees. Relation to Strategic games.
o And/Or game graphs and reachability games.
o bisimulation, simulation, parity games, and other omega-games on automata(finitely presented, infinite duration games).
o mean value games, MDPs, and stochastic games.
* Mechanism design and inverse game theory: designing games where selfish players will behave as desired.
o Vickery auctions and other mechanisms.
o Combinatorial auctions.
o Incentive structures for the internet.

Relevant QAA Computing Curriculum Sections: Artificial Intelligence, Data Structures and Algorithms, e-commerce, Simulation and Modelling, Theoretical Computing
Entry Requirements (not applicable to Visiting Students)
Pre-requisites It is RECOMMENDED that students have passed Algorithms and Data Structures (INFR10052)
Prohibited Combinations Other requirements This course is open to all Informatics students including those on joint degrees. For external students where this course is not listed in your DPT, please seek special permission from the course organiser.

Some mathematical maturity, and concretely some basic background in:
- Linear Algebra
- Discrete Mathematics
- Probability
at the level of the year 1 and 2 required undergraduate courses in these topics.

Background in algorithms at the level of Informatics 2B - Algorithms, Data Structures and Learning, and preferably at the level of Algorithms and Data Structures. Exposure to computational complexity theory (NP - completeness, etc.) at the level of Computational Complexity is desirable but not required.
Information for Visiting Students
Pre-requisitesVisiting students are required to have comparable background to that
assumed by the course prerequisites listed in the Degree Regulations &
Programmes of Study. If in doubt, consult the course lecturer.
High Demand Course? Yes
Course Delivery Information
Academic year 2017/18, Available to all students (SV1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 20, Seminar/Tutorial Hours 8, Summative Assessment Hours 2, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 68 )
Assessment (Further Info) Written Exam 70 %, Coursework 30 %, Practical Exam 0 %
Additional Information (Assessment) Students will be given written practical assignments reinforcing the material taught in class. Some of the practical work may ask students to implement parts of algorithms for "solving" a game that arise in one of the application areas.

You should expect to spend approximately 32 hours on the coursework for this course.

If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year.
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
Main Exam Diet S2 (April/May)2:00
Learning Outcomes
On completion of this course, the student will be able to:
  1. Understanding of various models of games, how they are related, and how they arise in various applications in computer science and elsewhere
  2. An understanding of linear programming and some of its broad applicability
  3. An understanding of algorithms used to "solve" such games and their efficiency
  4. Ability to model various scenarios as strategic games, and devise algorithms to solve them
  5. An understanding of some of the aims of the current research frontier
Reading List
Multiagent Systems, Y.Shoham & K. Leyton-Brown, Cambridge University Press 2009
* Relevant references include:
* "Linear Programming" by V. Chvatal,
* "Game Theory" by Osborne and Rubinstein, "Game Theory: Anaysis of Conflict" by R. Myerson, several chapters from "Handbook of Game Theory, vol. I-III"
* Chapters from "Automata, logic, and infinite games", (Eds.) Gradel, Thomas, and Wilke.
* Survey papers, including "Algorithms, games, and the internet" by Papadimitriou, "Two-person equilibria" by von Stengel, and "Algorithmic Mechanism Design" by Nisan and Ronen
Additional Information
Course URL
Graduate Attributes and Skills Not entered
KeywordsNot entered
Course organiserDr Kousha Etessami
Tel: (0131 6)50 5197
Course secretaryMr Gregor Hall
Tel: (0131 6)50 5194
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