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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.
What is Artificial Intelligence Series
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.
The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.
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.
What is Artificial Intelligence Series
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.
The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.