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Algorithmic Game Theory 1st Edition
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More than 40 of the top researchers in the field have written chapters that range from foundations to the state of the art.
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What Stands Out
Product Details
| Publisher | Cambridge University Press |
| Publication date | September 24, 2007 |
| Edition | 1st |
| Language | English |
| Print length | 778 pages |
| ISBN-10 | 0521872820 |
| ISBN-13 | 978-0521872829 |
| Item Weight | 3.51 pounds (1.59 kg) |
| Dimensions | 7.25 x 2 x 10 inches (18.4 x 5.1 x 25.4 cm) |
Who Should Buy?
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Academics in Game Theory
Ideal for students or researchers looking to deepen their understanding of algorithmic applications in game theory.
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Computer Scientists
Beneficial for computer scientists who want to explore algorithmic solutions to strategic decision-making problems.
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Economics Professionals
Useful for economists interested in the intersection of economics and computer science regarding strategic interactions.
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Casual Readers
Not suitable for casual readers seeking simple explanations or lighter content regarding games and algorithms.
Product Description
Algorithmic Game Theory 1st Edition
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Game Theory Editorial Review
**Editorial Review of "Algorithmic Game Theory 1st Edition"** "Algorithmic Game Theory" serves as a substantial resource for individuals who already possess a foundational understanding of game theory and seek to delve deeper into its computational aspects. Though the book is not designed as an introductory text for beginners, it excels in providing a comprehensive overview of the subject, particularly for graduate-level students and researchers. The text is structured to deliver a broad range of insights while addressing complex topics through a somewhat brisk approach. Readers find that while the book covers essential theorems and concepts, the lack of exhaustive proofs may require readers to engage with its references for a fuller understanding. This 'fill-in-the-blanks' methodology could pose a challenge for those who desire a thorough mathematical backing. However, those with interests in the intersection of computer science and economics will appreciate the focused discussions on efficient computational methods and their real-world applications. Several reviewers noted that the book enhances their understanding of how empirical research can complement theoretical frameworks in economics. This convergence of disciplines makes it a useful resource for economic majors seeking to explore tech-related topics within their field. Overall, "Algorithmic Game Theory" is recommended for those pursuing advanced studies or practical applications of game theory rather than for newcomers. **
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Pros
- Comprehensive overview of advanced game theory concepts.
- Useful for graduate students and researchers.
- Strong focus on computational methods and applications in economics.
Cons
- Not suitable for beginners or those new to game theory.
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USD 63
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Features & Benefits
- 40 top researchers contributing
- Chapters covering algorithmic methods, mechanism design, and combinatorial auctions
- Topics on incentives, pricing, cost sharing, information markets, and cryptography
- Practical applications in Internet and e-commerce
- Ideal for students, researchers, and practitioners
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