| Description |
1 online resource (xvi, 88 pages) |
| Series |
Synthesis lectures on artificial intelligence and machine learning ; #3 |
|
Synthesis lectures on artificial intelligence and machine learning (Online) ; #3.
|
| Contents |
Games in normal form -- Analyzing games: from optimality to equilibrium -- Further solution concepts for normal-form games -- Games with sequential actions: the perfect-information extensive form -- Generalizing the extensive form: imperfect-information games -- Repeated and stochastic games -- Uncertainty about payoffs: Bayesian games -- Coaltional game theory -- History and references -- Index |
| Summary |
Game theory is the mathematical study of interaction among independent, self-interested agents. The audience for game theory has grown dramatically in recent years, and now spans disciplines as diverse as political science, biology, psychology, economics, linguistics, sociology, and computer science, among others. What has been missing is a relatively short introduction to the field covering the common basis that anyone with a professional interest in game theory is likely to require. Such a text would minimize notation, ruthlessly focus on essentials, and yet not sacrifice rigor. This Synthesis Lecture aims to fill this gap by providing a concise and accessible introduction to the field. It covers the main classes of games, their representations, and the main concepts used to analyze them |
| Notes |
Title from PDF title page (viewed June 10, 2008) |
| Bibliography |
Includes bibliographical references (pages 83-84) |
| Subject |
Game theory.
|
|
Game Theory
|
|
Game theory
|
|
Spieltheorie
|
| Form |
Electronic book
|
| Author |
Shoham, Yoav.
|
| ISBN |
9781598295931 |
|
1598295934 |
|
9781598295948 |
|
1598295942 |
|
9783031015458 |
|
3031015452 |
|
