Learn To Play Go
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How to Play Go: A Beginners to Expert Guide to Learn The Game of Go
Discover the Fascinating Eastern Game That’s Lasted for Millennia! What is Go? Go is a deceptively simple two-player game, played on square boards of various sizes. According to legend, the Chinese Emperor Yau invented this game to teach his son concentration, balance, and discipline. Over time, this game spread to Japan – and across the globe. For over four millennia, war leaders and sages have consulted this game to learn strategy, wisdom, and mental mastery. Inside How to Play Go, you’ll discover everything you need to know to play this ancient game. You’ll learn all the basics of capturing territory and pieces (including self-capture), handling dead stones, and mastering the endgame. This book explains the scoring system of Go – and how to grow from a beginner player to true mastery. How to Play Go explains advanced Go concepts like the Ko Rule, Eyes, and Dead/Live Groups. You’ll discover Atari, Handicaps, Komi, Cutting, and much more! Immerse yourself in a vast array of Go strategies: Territory Capturing The Ladder and the Net Good/Bad Shapes Ponnuki The Mouth Connections, Stretching, and Diagonals One-Point and Two-Point Jumps The Knight Move and the Large Knight Move With this information, you can master this mystical game and increase your mental power!
Learning to Play
In this textbook the author takes as inspiration recent breakthroughs in game playing to explain how and why deep reinforcement learning works. In particular he shows why two-person games of tactics and strategy fascinate scientists, programmers, and game enthusiasts and unite them in a common goal: to create artificial intelligence (AI). After an introduction to the core concepts, environment, and communities of intelligence and games, the book is organized into chapters on reinforcement learning, heuristic planning, adaptive sampling, function approximation, and self-play. The author takes a hands-on approach throughout, with Python code examples and exercises that help the reader understand how AI learns to play. He also supports the main text with detailed pointers to online machine learning frameworks, technical details for AlphaGo, notes on how to play and program Go and chess, and a comprehensive bibliography. The content is class-tested and suitable for advanced undergraduate and graduate courses on artificial intelligence and games. It's also appropriate for self-study by professionals engaged with applications of machine learning and with games development. Finally it's valuable for any reader engaged with the philosophical implications of artificial and general intelligence, games represent a modern Turing test of the power and limitations of AI.
Artificial Intelligence
Author: Melanie Mitchell
language: en
Publisher: Farrar, Straus and Giroux
Release Date: 2019-10-15
“After reading Mitchell’s guide, you’ll know what you don’t know and what other people don’t know, even though they claim to know it. And that’s invaluable.” —The New York Times A leading computer scientist brings human sense to the AI bubble. No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.