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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