Mechanism Design: Fundamentals and Applications

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What Is Mechanism Design

In the fields of economics and game theory, mechanism design is a subfield that takes a goals-first approach to the design of economic mechanisms or incentives, with the goal of working toward desired objectives in strategic contexts where players are assumed to act rationally. It is also known as the reverse game theory due to the fact that it begins at the end of the game and then works its way backwards. It has a wide range of applications, including those in the domains of economics and politics, including market design, auction theory, and social choice theory, as well as networked-systems.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Mechanism Design


Chapter 2: Laplace's Equation


Chapter 3: Likelihood Function


Chapter 4: Navier-Stokes Equations


Chapter 5: Maximum Likelihood Estimation


Chapter 6: Sufficient Statistic


Chapter 7: Linear Elasticity


Chapter 8: Fisher Information


Chapter 9: Implicit Function Theorem


Chapter 10: Kullback-Leibler Divergence


(II) Answering the public top questions about mechanism design.


(III) Real world examples for the usage of mechanism design in many fields.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of mechanism design.


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The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field.
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