CMPS272, Winter 2007, Section 01: Syllabus

Syllabus for Evolutionary Game Theory Class

This course reviews modern game theory, including static equilibrium concepts, games of incomplete information, and repeated games. Its focus is the emerging theory of evolutionary games, including replicator, and best reply dynamics, and applications in economics, computer science and biology. The basic text is Strategy: an Introduction to Game Theory, by Joel Watson (WW Norton, 2001). A supplementary text is Evolutionary Dynamics, by Martin Nowak (Harvard U Press, 2006). The course is designed for graduate students in Biology, Computer Science and Economics but it is open to well-prepared undergraduate and graduate students from all disciplines. Prior knowledge of probability theory and upper division calculus is assumed. There will weekly homework assignments and one midterm exam. Students are expected to form interdisciplinary groups that will take turns writing up notes from the lectures. Each group will develop a term project to be presented to the class orally and in a final paper.