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Minimax - Fundamentals and Applications - cover

Minimax - Fundamentals and Applications

Fouad Sabry

Publisher: One Billion Knowledgeable

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Summary

What Is Minimax
 
In artificial intelligence, decision theory, game theory, statistics, and philosophy, minmax is a decision rule that is used to minimize the probable loss for a worst case scenario. When discussing profits, one may often hear the term "maximin" used, which stands for "maximizing the minimum gain." It was initially developed for the theory of several-player zero-sum games, including both the circumstances in which players take alternate movements and those in which they make simultaneous actions. Since then, however, it has been expanded to more complicated games as well as to general decision-making in the presence of uncertainty.
 
How You Will Benefit
 
(I) Insights, and validations about the following topics:
 
Chapter 1: Minimax
 
Chapter 2: Game Theory
 
Chapter 3: Decision Trees
 
Chapter 4: Alpha-Beta Pruning
 
Chapter 5: Expectiminimax
 
Chapter 6: Adversarial Search
 
Chapter 7: Evaluation function
 
Chapter 8: Monte Carlo Tree Search
 
Chapter 9: Negamax
 
Chapter 10: Artificial Intelligence
 
(II) Answering the public top questions about minimax.
 
(III) Real world examples for the usage of minimax in many fields.
 
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of minimax' technologies.
 
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 minimax.
Available since: 06/28/2023.
Print length: 141 pages.

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