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Essentials of Game Theory: A Concise, Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Kevin Leyton-Brown




[PDF.bc84] Essentials of Game Theory: A Concise, Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)

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 | #1013297 in Books |  2008-06-27 | Original language:English | PDF # 1 |  9.25 x.24 x7.50l,.50 | File type: PDF | 104 pages

||11 of 12 people found the following review helpful.| Maybe a bit technical|By Customer|I am not a math major, and I found many of the mathematical notations a bit daunting. It has many questions, but would appreciate if the author could provide answers at the back of the book.

Very often, concrete examples illustrating the maths behind the ideas could illuminate the mathematical notations to a non-mathematicians, an

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 l...

You easily download any file type for your gadget.Essentials of Game Theory: A Concise, Multidisciplinary Introduction (Synthesis Lectures on Artificial Intelligence and Machine Learning)   |  Kevin Leyton-Brown. I was recommended this book by a dear friend of mine.

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