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Hands-On Artificial Intelligence for Beginners

You're reading from   Hands-On Artificial Intelligence for Beginners An introduction to AI concepts, algorithms, and their implementation

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781788991063
Length 362 pages
Edition 1st Edition
Languages
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Authors (2):
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David Dindi David Dindi
Author Profile Icon David Dindi
David Dindi
Patrick D. Smith Patrick D. Smith
Author Profile Icon Patrick D. Smith
Patrick D. Smith
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Table of Contents (15) Chapters Close

Preface 1. The History of AI 2. Machine Learning Basics FREE CHAPTER 3. Platforms and Other Essentials 4. Your First Artificial Neural Networks 5. Convolutional Neural Networks 6. Recurrent Neural Networks 7. Generative Models 8. Reinforcement Learning 9. Deep Learning for Intelligent Agents 10. Deep Learning for Game Playing 11. Deep Learning for Finance 12. Deep Learning for Robotics 13. Deploying and Maintaining AI Applications 14. Other Books You May Enjoy

Networks for board games

When we talk about creating algorithms for game-playing, we are really talking about creating them for a specific type of game, known as a finite two person zero-sum sequential game. This is really just a fancy way of saying the following:

  • An interactive situation between two independent actors (a game)
  • There are a finite amount of ways in which the two actors can interact with each other at any point
  • The game is zero-sum, meaning that the end state of the game results in a complete win for one of the actors
  • The game is sequential, meaning that the actors make their moves in sequence, one after another

Classic examples of these types of games that we'll cover in this section are Tic Tac Toe, Chess, and the game of Go. Since creating and training an algorithm for a board game such as Go would be an immense task, for time and computation constraint...

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