Math 4390/5390 Game Theory Summer 2014 Instructor: Burt Simon Office: CU Building, Room 612 Office Hours: MW before class Course dates/times: MW 4:00-6:30 Course location: Business 3007 Email: burt.simon@ucdenver.edu Course Description Game theory is a collection of mathematical models of interactions between two or more agents. The agents are often assumed to be perfectly rational, but not always. The theory aims to answer questions like (i) How will rational agents behave when they have to take other rational agents into account? (ii) What is a “fair” outcome of a game? (iii) What is likely to happen when successful strategies proliferate in a population at the expense of less successful strategies? Applications of the theory can be found in economics, political science, moral philosophy, and evolutionary biology. This course covers the basic ideas in game theory that model strategies for rational play, fairness, and evolutionary change. Prerequisites Official: Math 2421, 3191, and 3800 or 4810 Suggested: Math 3200 and some programming experience Textbooks and Reference Material Game theory is a very broad field and there does not appear to be any single text that covers (at the appropriate level) all the topics I want to cover in this course. In my lectures I will therefore borrow from a variety of books, and add some of my own thoughts as well. I do not expect students to purchase all of the books I will use, and in fact, none of them are strictly necessary. I think Herb Gintis’ book is excellent so if you want a single book to read and keep, I suggest that one. The “Idiot’s Guide” was used recently as a text for this course (and is not nearly as bad as it sounds), and Davis’ book was also once used as a text. Recommended Textbook: Game Theory Evolving, 2nd ed., by Herbert Gintis (2009) Additional References 1. The Complete Idiot’s Guide to Game Theory, by Edward C. Rosenthal (2011) 2. N-Person Game Theory, by Anatol Rapoport (1970) 3. Game Theory, A Nontechnical Introduction, by Morton Davis (1970) Course Objectives Present basic models of conflict and cooperation. Present solution techniques for simple games based on models of rational play. Present models of the evolution of game strategies in non-rational agents. Present applications of the theory in economics, political science, and biology. Class Website Click on the link to our class from www.math.ucdenver.edu/~bsimon Assignments, Exams, and Grading Your primary source of information for this course will be the lectures. I will not take attendance, but you should make a point of attending every class. Homework will be assigned (approximately) weekly. The assignments will be posted on the class website. Usually assignments will be due at the beginning of class on Monday. We will discuss homework problems during class when they are due, so sets turned in late cannot receive full credit. There will be a midterm exam and a final exam. Both will be traditional in-class tests. Your grade will be based on Homework (at least 25%), Exams (at least 50%), and intangibles like class participation and work in addition to what is assigned (up to 25%). Tentative Course Schedule Class dates Material Covered June 9, 11 Introductory examples, Utility theory References: Gintis, Chapters 2 (advanced) and 3; Idiot’s Guide, Chapter 18; Davis, Chapter 4 June 16, 18 Two-person zero-sum games Minimax Theorem, examples References: Davis, Chapters 2, 3; Idiot’s Guide, Chapter 3 June 23, 25 Solving Zero-Sum games by Linear Programming Non-zero-sum games, Nash equilibrium (pure, mixed) References: Gintis, Chapters 4, 5, 6; Davis, Chapter 5; Idiot’s Guide, Chapters 4, 5 June 30, July 2 Catch-up, and Review Midterm Exam (2nd half of Wednesday class) July 7, 9 N-person games, Models of “fairness” Von Neumann Morgenstern Solutions Cooperative games, Shapley value, Kernel References: Rapoport, Chapters 4-7; Idiot’s Guide, Chapters 9-12 July 14, 16 Repeated Games, Evolutionary Stable Strategy (ESS) References: Gintis, Chapters 9. 10 Idiot’s Guide, Chapters 17 and 22 July 21, 23 Population Dynamics and Evolutionary Game Theory References: Gintis, Chapters 11, 12 July 28, Aug 30, Catch-up, Review, and Final Exam