COMP323

Introduction To Computational Game Theory

Aims

To introduce the student to the notion of a game, its solutions, concepts, and other basic notions and tools of game theory, and the main applications for which they are appropriate, including electricity trading markets.

Syllabus

Introduction: Making rational choices: what is a game? strategy, preferences, payoffs; basic solution concepts; non-cooperative versus cooperative games; basic computational issues: finding equilibria and learning in games; typical application areas for game theory (e.g. Google's sponsored search, eBay auctions, electricity trading markets). (4 lectures)

Recommended Texts

Reading lists are managed at readinglists.liverpool.ac.uk. Click here to access the reading lists for this module.

Learning Outcomes

(LO1) A student will understand the notion of a strategic game and equilibria, and understand the characteristics of main applications of these concepts;


(LO2) Given a real world situation a student should be able to identify its key strategic aspects and based on these be able to connect them to appropriate game theoretic concepts;


(LO3) A student will understand the key connections and interactions between game theory, computer science and economics;


(LO4) A student will understand the impact of game theory on its contemporary applications, and be able to identify the key such application areas;


(S1) Numeracy/computational skills - Problem solving


(S2) Critical thinking and problem solving - Creative thinking


(S3) Numeracy/computational skills - Reason with numbers/mathematical concepts

Learning Strategy

Teaching Method 1 - Lecture Description: Teaching Method 2 - Tutorial Description: