How to Play Go the AI Way! PDF Download
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Author: Shinji Yamada
Publisher: BoD – Books on Demand
ISBN: 3940563781
Category : Crafts & Hobbies
Languages : en
Pages : 198
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Book Description
This book is intended for amateurs in go who would like to learn and employ the modern AI style. The AI style may seem confusing because there are so many tactics far away from traditional thinking. But the study of the new techniques introduced by AI has already lead to their rapid spread and adoption. Today they are applied by pros almost as a matter of course. This book summarizes the findings from the study of AI techniques and explains them in illustrative diagrams. "I wrote this book with a lot of enthusiasm and I hope that this way everybody can profit from the insights of my studies. I am very happy to be able to witness this important turning point towards a new era, in which an AI can defeat humans in the game of go. Engaging with the AI style has given me joy like I have never felt before in go. I hope this kind of joy will be conveyed and passed on through the book." Yamada Shinji
Author: Shinji Yamada
Publisher: BoD – Books on Demand
ISBN: 3940563781
Category : Crafts & Hobbies
Languages : en
Pages : 198
Get Book Here
Book Description
This book is intended for amateurs in go who would like to learn and employ the modern AI style. The AI style may seem confusing because there are so many tactics far away from traditional thinking. But the study of the new techniques introduced by AI has already lead to their rapid spread and adoption. Today they are applied by pros almost as a matter of course. This book summarizes the findings from the study of AI techniques and explains them in illustrative diagrams. "I wrote this book with a lot of enthusiasm and I hope that this way everybody can profit from the insights of my studies. I am very happy to be able to witness this important turning point towards a new era, in which an AI can defeat humans in the game of go. Engaging with the AI style has given me joy like I have never felt before in go. I hope this kind of joy will be conveyed and passed on through the book." Yamada Shinji
Author: Masaaki Fukui
Publisher: BoD – Books on Demand
ISBN: 3940563927
Category : Crafts & Hobbies
Languages : en
Pages : 129
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Book Description
Some people may think that the 5×5 board is just a reduced version of Go. Fukui Masaaki's little creations show that much of what is complex and profound in Go can be found in the tight confines of the 5×5 board. The problems cover endgame moves, aspects of life and death, attacking and defending, judgments based on calculating territory, the presence or absence of ko threats, and even things pertaining to the realm of middle game fighting. Not only is this book useful for improving your understanding of shapes and techniques, it is also a lot of fun!
Author: Jeremy Howard
Publisher: O'Reilly Media
ISBN: 1492045497
Category : Computers
Languages : en
Pages : 624
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Book Description
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Author: Kevin Ferguson
Publisher: Simon and Schuster
ISBN: 1638354014
Category : Computers
Languages : en
Pages : 611
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Book Description
Summary Deep Learning and the Game of Go teaches you how to apply the power of deep learning to complex reasoning tasks by building a Go-playing AI. After exposing you to the foundations of machine and deep learning, you'll use Python to build a bot and then teach it the rules of the game. Foreword by Thore Graepel, DeepMind Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology The ancient strategy game of Go is an incredible case study for AI. In 2016, a deep learning-based system shocked the Go world by defeating a world champion. Shortly after that, the upgraded AlphaGo Zero crushed the original bot by using deep reinforcement learning to master the game. Now, you can learn those same deep learning techniques by building your own Go bot! About the Book Deep Learning and the Game of Go introduces deep learning by teaching you to build a Go-winning bot. As you progress, you'll apply increasingly complex training techniques and strategies using the Python deep learning library Keras. You'll enjoy watching your bot master the game of Go, and along the way, you'll discover how to apply your new deep learning skills to a wide range of other scenarios! What's inside Build and teach a self-improving game AI Enhance classical game AI systems with deep learning Implement neural networks for deep learning About the Reader All you need are basic Python skills and high school-level math. No deep learning experience required. About the Author Max Pumperla and Kevin Ferguson are experienced deep learning specialists skilled in distributed systems and data science. Together, Max and Kevin built the open source bot BetaGo. Table of Contents PART 1 - FOUNDATIONS Toward deep learning: a machine-learning introduction Go as a machine-learning problem Implementing your first Go bot PART 2 - MACHINE LEARNING AND GAME AI Playing games with tree search Getting started with neural networks Designing a neural network for Go data Learning from data: a deep-learning bot Deploying bots in the wild Learning by practice: reinforcement learning Reinforcement learning with policy gradients Reinforcement learning with value methods Reinforcement learning with actor-critic methods PART 3 - GREATER THAN THE SUM OF ITS PARTS AlphaGo: Bringing it all together AlphaGo Zero: Integrating tree search with reinforcement learning
Author: Julian Togelius
Publisher: MIT Press
ISBN: 0262350157
Category : Games & Activities
Languages : en
Pages : 188
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Book Description
THE FUTURE OF GAME DESIGN IN THE AGE OF AI: Can games measure intelligence? And how will artificial intelligence inform games of the future? In Playing Smart, Julian Togelius explores the connections between games and intelligence to offer a new vision of future games and game design. Video games already depend on AI. We use games to test AI algorithms, challenge our thinking, and better understand both natural and artificial intelligence. In the future, Togelius argues, game designers will be able to create smarter games that make us smarter in turn, applying advanced AI to help design games. In this book, he tells us how. Games are the past, present, and future of artificial intelligence. In 1948, Alan Turing, one of the founding fathers of computer science and artificial intelligence, handwrote a program for chess. Today we have IBM’s Deep Blue and DeepMind’s AlphaGo, and huge efforts go into developing AI that can play such arcade games as Pac-Man. Programmers continue to use games to test and develop AI, creating new benchmarks for AI while also challenging human assumptions and cognitive abilities. Game design is at heart a cognitive science, Togelius reminds us—when we play or design a game, we plan, think spatially, make predictions, move, and assess ourselves and our performance. By studying how we play and design games, Togelius writes, we can better understand how humans and machines think. AI can do more for game design than providing a skillful opponent. We can harness it to build game-playing and game-designing AI agents, enabling a new generation of AI-augmented games. With AI, we can explore new frontiers in learning and play.
Author: Kiyoshi Kosugi
Publisher:
ISBN:
Category : Go (Game)
Languages : en
Pages : 244
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Book Description
Handleiding voor beginnende go-spelers.
Author: Dan Hendrycks
Publisher: Dan Hendrycks
ISBN:
Category : Computers
Languages : en
Pages : 531
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Book Description
Author: Oliver Roeder
Publisher: W. W. Norton & Company
ISBN: 1324003782
Category : History
Languages : en
Pages : 326
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Book Description
A group biography of seven enduring and beloved games, and the story of why—and how—we play them. Checkers, backgammon, chess, and Go. Poker, Scrabble, and bridge. These seven games, ancient and modern, fascinate millions of people worldwide. In Seven Games, Oliver Roeder charts their origins and historical importance, the delightful arcana of their rules, and the ways their design makes them pleasurable. Roeder introduces thrilling competitors, such as evangelical minister Marion Tinsley, who across forty years lost only three games of checkers; Shusai, the Master, the last Go champion of imperial Japan, defending tradition against “modern rationalism”; and an IBM engineer who created a backgammon program so capable at self-learning that NASA used it on the space shuttle. He delves into the history and lore of each game: backgammon boards in ancient Egypt, the Indian origins of chess, how certain shells from a particular beach in Japan make the finest white Go stones. Beyond the cultural and personal stories, Roeder explores why games, seemingly trivial pastimes, speak so deeply to the human soul. He introduces an early philosopher of games, the aptly named Bernard Suits, and visits an Oxford cosmologist who has perfected a computer that can effectively play bridge, a game as complicated as human language itself. Throughout, Roeder tells the compelling story of how humans, pursuing scientific glory and competitive advantage, have invented AI programs better than any human player, and what that means for the games—and for us. Funny, fascinating, and profound, Seven Games is a story of obsession, psychology, history, and how play makes us human.
Author: Georgios N. Yannakakis
Publisher: Springer
ISBN: 3319635190
Category : Computers
Languages : en
Pages : 350
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Book Description
This is the first textbook dedicated to explaining how artificial intelligence (AI) techniques can be used in and for games. After introductory chapters that explain the background and key techniques in AI and games, the authors explain how to use AI to play games, to generate content for games and to model players. The book will be suitable for undergraduate and graduate courses in games, artificial intelligence, design, human-computer interaction, and computational intelligence, and also for self-study by industrial game developers and practitioners. The authors have developed a website (http://www.gameaibook.org) that complements the material covered in the book with up-to-date exercises, lecture slides and reading.
Author: Hannah Josepha Rachel Altman
Publisher: Routledge
ISBN: 1000522695
Category : Business & Economics
Languages : en
Pages : 377
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Book Description
Economists have entered into the realm of sports to provide what they believe to be more cogent explanations for sport-related behaviour and to suggest ways in which incentives can improve sports outcomes. But prices and income, the traditional workhorses of conventional economics, can only provide partial explanations and understandings. Drawing on a bounded rationality approach to behavioural economics, this book demonstrates the analytical insights to be gained by supplementing the conventional economics toolbox with psychological, cognitive, sociological, and institutional factors. The international cast list of contributors cover a wide range of sports topics on which a behavioural approach can reveal new insights. These include preferences, managerial, efficiency, choking, doping, favouritism, athlete well- being, and spectator behaviour. Throughout the book, there is an emphasis on the cognitive limits to smart decision-making as well as the critical role played by the decision-making environment. This volume demonstrates that adopting a bounded rationality approach, complimented with other behaviouralist approaches, helps to better explain sport-related behavioural, sub-optimal behavioural, and market failures. It also provides insights that could be used to improve sports outcomes and the well-being of those involved in sports and to better configure policy to enhance sports performance. This groundbreaking book will be an indispensable reference to students and scholars of sports economics, sports management, and sports science.
