Econ/Cmps 166A /Bio176A // Prof. Dan Friedman

Game Theory

The course introduces students to modern game theory, including applications in social science, biology and engineering. Students are expected to have declared a major in Engineering, Physical and Biological Sciences, or Social Sciences, and to be able to use the tools of differential calculus and basic probability theory.

The teaching assistant is Maxim Belenkiy. He will lead sections Wed 5-6:10 pm in Oakes Acad 101, and Th 4-5:10 pm in Nat Sci Annex 102. His office hours are Fridays 11-noon in 403F Engineering 2. Email address: mbelenki@ucsc.edu, website

The instructor is Dan Friedman. His office hours are MW 3:15- 3:30pm, and by appointment, in 417 Engineering 2.

Announcements

Final Exam Preparation

Dan will hold office hours 2-3:30pm Mon Dec 8 in 417 E2 or across the hall

Special Review Session 4-7pm Tue Dec 9, Nat Sci Annex 102

Maxim will hold office hours 4-6 pm Wed Dec 10 in 492 E2.

++++

A tutorial on evolutionary games written for graduate students can be found here. You might want to read the introduction and skim pages 28-30, but (unless you are a graduate student) don't worry if it seems too complicated!

Keith Henwood spotted this article on the Freakonomics blog regarding mixed strategies and thought you might enjoy it.

For Binmore's comment on Axelrod's RPD tournament, see this website..

There is a nice game theory blog here.

Readings // All // //