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Game Theory: Formal Models in Politics of Policymaking - Public Policy 419, Study notes of Game Theory

Game TheoryMathematics for Social SciencesPolitical Science

Information about a university course titled 'game theory: formal models in politics of policymaking - public policy 419'. Offered at the university of chicago during winter 2009, the course is taught by ethan bueno de mesquita and focuses on introducing the foundational concepts of noncooperative game theory. Students are expected to have a working knowledge of foundational mathematics including sets and relations, basic calculus, and basic probability theory. The course has three requirements: problem sets, a midterm exam, and a final exam. Problem sets constitute 40% of the grade and must be written clearly or typed with a logical argument. The required textbook for the course is 'an introduction to game theory' by martin j. Osborne.

What you will learn

  • What are the foundational concepts covered in this game theory course?
  • What textbook is required for this game theory course at the University of Chicago?
  • What are the requirements for this game theory course at the University of Chicago?

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2021/2022

Uploaded on 08/05/2022

char_s67
char_s67 🇱🇺

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Download Game Theory: Formal Models in Politics of Policymaking - Public Policy 419 and more Study notes Game Theory in PDF only on Docsity! Public Policy 419 Formal Models in the Politics of Policymaking (Introduction to Game Theory) Winter 2009 Professor Ethan Bueno de Mesquita Office 1155 E. 60th, Rm. 108 Office Hours Tuesday, 10:30–11:30 (or by appointment) Office Phone 773.834.9874 Email bdm@uchicago.edu TA Priscilla Man Office TBA Office Hours TBA Email ptyman@uchicago.edu Course website The course has a website at chalk.uchicago.edu Course Description This course will primarily focus on introducing the foundational concepts in noncooperative game theory. We will also touch on basic social choice theory and the spatial model. Importantly, despite the course name, this is not an applied models course. It is an introduction to game theory. We will get to applications when and if we can, but this is not our main goal. In order to read the applied literature with sophistication (let alone contributing to it) it is important to first have a foundation in the theory. I assume that students have a working knowledge of some foundational mathematics including sets and relations, basic calculus, and basic probability theory. Course Requirements The course has three requirements: • Problem Sets Problem sets will be distributed and due each Thursday. Because work- ing problems is critical to learning game theory, these problem sets will constitute 40% of your grade. You are encouraged to work on problem sets in groups, but you must write up your own answers. Late problem sets will not be accepted. All problem sets must be written clearly or typed. Moreover, the expectation is that the argument underlying 1 your answers will be laid out in an easy to follow string of logic. That is, the TA and professor should not have to work hard to figure out what it is you are arguing. This will almost certainly mean that you will have to rewrite your solution (once you have arrived at it) before turning in the problem set. • Midterm There will be an in class midterm exam on February 5. It will count for 25% of your grade. • Final There will be a comprehensive in-class final at the end of the quarter that will make up the remaining 35% of your grade. Course Materials The required textbook for this course is Martin J. Osborne. 2004. An Intro- duction to Game Theory. Oxford: Oxford University Press. Additional Materials I addition to the required book, you may be interested in some additional reading on math for social scientists and/or game theory. Here are few recommendations. Math Books • Daniel Kleppner and Norman Ramsey. Quick Calculus: A Self-Teaching Guide. Spend a weekend with this book if you need a quick calculus refresher. • Carl P. Simon and Lawrence Blume. Mathematics for Economists. A good intro- duction to most of the basic mathematics you will need to do applied theory. • Morris DeGroot. Optimal Statistical Decisions. This classic introduction to the use of probability to think about decision making is finally back in print after many years. A wonderful book. Game Theory Books • Nolan McCarty and Adam Meirowitz. Political Game Theory. This bookis a pretty rigorous game theory text, focusing almost exclusively on political sci- ence applications and problems. • James D. Morrow. Game Theory for Political Scientists. A fairly easy (around the same level as Osborne) introduction to game theory, focusing on political applications. • Robert Gibbons. Game Theory for Applied Economists. A slightly harder (not much, but with some calculus) but less complete introduction to game theory. The applications are to classic economic problems. • Ken Binmore. Fun and Games. A quixotic, classic introduction to game the- ory the way only Binmore could do it. With applications to Alice in Wonderland, Kant, . . . . • Drew Fudenberg and Jean Tirole. Game Theory. A fairly encyclopedic, somewhat hard to read, pretty technical treatment. • Martin J. Osborne and Ariel Rubinstein. A Course in Game Theory. One of the two most rigorous, complete game theory texts available. Outstanding, but hard. • Roger B. Myerson. Game Theory: Analysis of Conflict. The other of the two most rigorous game theory texts available. My favorite, but quite hard. 2
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