Graduate-Level Course in Game Theory
by Jim Ratliff
These are lecture notes from a game-theory course the author taught to students in their second year of the economics PhD program at the University of Arizona. The material presented would also be helpful to first-year PhD students learning game theory as part of their microeconomic-theory sequence, as well as to advanced undergraduates learning game theory. The exposition is detailed, rigorous, and self-contained.
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by Wolfram Elsner, et al. - MDPI AG
This volume pursues the question of the emergence of institutions and hierarchy, analyzes algorithms of strategy change in evolutionary game models, and takes a historical point of view on the development of game theory during the cold war.
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Multiagent systems consist of multiple autonomous entities having different information and diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory.
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LOFT is a key venue for presenting research at the intersection of logic, economics and computer science, and the present collection gives a lively view of an exciting and rapidly growing area. This volume collects papers presented at the Conference.
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This is a textbook on non-cooperative Game Theory with 165 solved exercises. It is intended to be rigorous and it includes several proofs. It is appropriate for an undergraduate class in game theory and also for a first-year graduate-level class.