Game theory and behavior
Language: English Publication details: MIT Press 2022 CambridgeDescription: xxii, 701pISBN:- 9780262047296
- 519.3 C226g
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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PK Kelkar Library, IIT Kanpur | General Stacks | 519.3 C226g (Browse shelf(Opens below)) | Available | A186595 |
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519.3 B278g Game theory an introduction | 519.3 B515p Playing for real | 519.3 B848d Dynamic optimization | 519.3 C226g Game theory and behavior | 519.3 C349c A course on cooperative game theory | 519.3 C455i4 An introduction to optimization | 519.3 C733c Combinatorial optimization |
This introductory text on game theory provides students with both the theoretical tools to analyze situations through the logic of game theory and the intuition and behavioral insights to apply these tools to real-world situations. It is unique among game theory texts in offering a clear, formal introduction to standard game theory while incorporating evidence from experimental data and introducing recent behavioral models. Students will not only learn about incentives, how to represent situations as games, and what agents “should” do in these situations, but they will also be presented with evidence that either confirms the theoretical assumptions or suggests a way in which the theory might be updated.
Each chapter begins with a motivating example that can be run as an experiment and ends with a discussion of the behavior in the example. Parts I–IV cover the fundamental “nuts and bolts” of any introductory game theory course, including the theory of games, simple games with simultaneous decision making by players, sequential move games, and incomplete information in simultaneous and sequential move games. Parts V–VII apply the tools developed in previous sections to bargaining, cooperative game theory, market design, social dilemmas, and social choice and voting, while part VIII offers a more in-depth discussion of behavioral game theory models including evolutionary and psychological game theory. Instructor resources include solutions to end-of-chapter exercises and the oTree codes for running the games online.
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