Computer Go: Fundamentals and Applications

· One Billion Knowledgeable · AI 講述者:Mason (來自 Google)
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What Is Computer Go


Computer The subfield of artificial intelligence (AI) known as "Go" is focused on the development of a computer program that is able to play the ancient board game "Go." The study of this topic can be broken down into two distinct time periods. Prior to the year 2015, the programs of the era were not very strong. The best artificial intelligences generated in the 1980s and 1990s were only able to be defeated by novice players, while the best AIs produced in the early 2000s were at best of an intermediate level. Even with a handicap of more than ten stones in their advantage, experts are still able to win against sophisticated computer programs. Because there were too many branching options to examine, many of the algorithms, such as alpha-beta minimax, that worked well as artificial intelligences for checkers and chess failed miserably when applied to the 19x19 board used in go. It was impossible to create a human professional quality program with the techniques and hardware available at the time. Some scholars working in the field of artificial intelligence hypothesized that the issue could not be resolved without the development of human-like AI.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Computer Go


Chapter 2: Go (game)


Chapter 3: Game complexity


Chapter 4: Monte Carlo tree search


Chapter 5: Google DeepMind


Chapter 6: AlphaGo


Chapter 7: AlphaGo versus Lee Sedol


Chapter 8: AlphaGo Zero


Chapter 9: AlphaZero


Chapter 10: KataGo


(II) Answering the public top questions about computer go.


(III) Real world examples for the usage of computer go in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of computer go' 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 computer go.

關於作者

Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. 

Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

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