Computer Go: Fundamentals and Applications

ยท Artificial Intelligence แƒฌแƒ˜แƒ’แƒœแƒ˜ 200 ยท One Billion Knowledgeable ยท แƒฎแƒ”แƒšแƒแƒ•แƒœแƒฃแƒ แƒ˜ แƒ˜แƒœแƒขแƒ”แƒšแƒ”แƒฅแƒขแƒ˜แƒก แƒ›แƒ˜แƒ”แƒ  แƒ›แƒแƒ—แƒฎแƒ แƒแƒ‘แƒ˜แƒšแƒ˜ Mason-แƒ˜แƒกแƒ’แƒแƒœ (Google-แƒ˜แƒ“แƒแƒœ)
แƒแƒฃแƒ“แƒ˜แƒแƒฌแƒ˜แƒ’แƒœแƒ˜
3 แƒกแƒ—, 39 แƒฌแƒ—
แƒจแƒ”แƒฃแƒ›แƒแƒ™แƒšแƒ”แƒ‘แƒ”แƒšแƒ˜
แƒ›แƒ˜แƒกแƒแƒฆแƒ”แƒ‘แƒ˜
แƒฎแƒ”แƒšแƒแƒ•แƒœแƒฃแƒ แƒ˜ แƒ˜แƒœแƒขแƒ”แƒšแƒ”แƒฅแƒขแƒ˜แƒก แƒ›แƒ˜แƒ”แƒ  แƒ›แƒแƒ—แƒฎแƒ แƒแƒ‘แƒ˜แƒšแƒ˜
แƒ แƒ”แƒ˜แƒขแƒ˜แƒœแƒ’แƒ”แƒ‘แƒ˜ แƒ“แƒ แƒ›แƒ˜แƒ›แƒแƒฎแƒ˜แƒšแƒ•แƒ”แƒ‘แƒ˜ แƒ“แƒแƒฃแƒ“แƒแƒกแƒขแƒฃแƒ แƒ”แƒ‘แƒ”แƒšแƒ˜แƒ ย แƒจแƒ”แƒ˜แƒขแƒงแƒ•แƒ”แƒ— แƒ›แƒ”แƒขแƒ˜
แƒ’แƒกแƒฃแƒ แƒ— 22 แƒฌแƒ—-แƒ˜แƒแƒœแƒ˜ แƒœแƒ˜แƒ›แƒฃแƒจแƒ˜? แƒ›แƒแƒฃแƒกแƒ›แƒ˜แƒœแƒ”แƒ— แƒ›แƒแƒก แƒœแƒ”แƒ‘แƒ˜แƒกแƒ›แƒ˜แƒ”แƒ  แƒ“แƒ แƒแƒก, แƒฎแƒแƒ–แƒ’แƒแƒ แƒ”แƒจแƒ” แƒ แƒ”แƒŸแƒ˜แƒ›แƒจแƒ˜แƒช แƒ™แƒ˜.ย 
แƒ“แƒแƒ›แƒแƒขแƒ”แƒ‘แƒ

แƒแƒ› แƒแƒฃแƒ“แƒ˜แƒแƒฌแƒ˜แƒ’แƒœแƒ˜แƒก แƒจแƒ”แƒกแƒแƒฎแƒ”แƒ‘

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.

แƒแƒ•แƒขแƒแƒ แƒ˜แƒก แƒจแƒ”แƒกแƒแƒฎแƒ”แƒ‘

Fouad Sabry is the former Regional Head of Business Development for Applications at HP. Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual masterโ€™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 30 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM. Fouad joined HP in 2013 and helped develop the business in tens of markets. Currently, Fouad is an entrepreneur, author, futurist, and founder of One Billion Knowledge (1BK) Initiative.

แƒแƒ› แƒแƒฃแƒ“แƒ˜แƒแƒฌแƒ˜แƒ’แƒœแƒ˜แƒก แƒจแƒ”แƒคแƒแƒกแƒ”แƒ‘แƒ

แƒ’แƒ•แƒ˜แƒ—แƒฎแƒแƒ แƒ˜แƒ— แƒ—แƒฅแƒ•แƒ”แƒœแƒ˜ แƒแƒ–แƒ แƒ˜.

แƒ˜แƒœแƒคแƒแƒ แƒ›แƒแƒชแƒ˜แƒ แƒ›แƒแƒกแƒ›แƒ”แƒœแƒ˜แƒก แƒจแƒ”แƒกแƒแƒฎแƒ”แƒ‘

แƒกแƒ›แƒแƒ แƒขแƒคแƒแƒœแƒ”แƒ‘แƒ˜ แƒ“แƒ แƒขแƒแƒ‘แƒšแƒ”แƒขแƒ”แƒ‘แƒ˜
แƒ“แƒแƒแƒ˜แƒœแƒกแƒขแƒแƒšแƒ˜แƒ แƒ”แƒ— Google Play Books แƒแƒžแƒ˜ Android แƒ“แƒ iPad/iPhone แƒ›แƒแƒฌแƒงแƒแƒ‘แƒ˜แƒšแƒแƒ‘แƒ”แƒ‘แƒ˜แƒกแƒ—แƒ•แƒ˜แƒก. แƒ˜แƒก แƒแƒ•แƒขแƒแƒ›แƒแƒขแƒฃแƒ แƒแƒ“ แƒ’แƒแƒœแƒแƒฎแƒแƒ แƒชแƒ˜แƒ”แƒšแƒ”แƒ‘แƒก แƒกแƒ˜แƒœแƒฅแƒ แƒแƒœแƒ˜แƒ–แƒแƒชแƒ˜แƒแƒก แƒ—แƒฅแƒ•แƒ”แƒœแƒก แƒแƒœแƒ’แƒแƒ แƒ˜แƒจแƒ—แƒแƒœ แƒ“แƒ แƒกแƒแƒจแƒฃแƒแƒšแƒ”แƒ‘แƒแƒก แƒ›แƒแƒ’แƒชแƒ”แƒ›แƒ—, แƒฌแƒแƒ˜แƒ™แƒ˜แƒ—แƒฎแƒแƒ— แƒกแƒแƒกแƒฃแƒ แƒ•แƒ”แƒšแƒ˜ แƒ™แƒแƒœแƒขแƒ”แƒœแƒขแƒ˜ แƒœแƒ”แƒ‘แƒ˜แƒกแƒ›แƒ˜แƒ”แƒ  แƒแƒ“แƒ’แƒ˜แƒšแƒแƒก, แƒ แƒแƒ’แƒแƒ แƒช แƒแƒœแƒšแƒแƒ˜แƒœ, แƒ˜แƒกแƒ” แƒฎแƒแƒ–แƒ’แƒแƒ แƒ”แƒจแƒ” แƒ แƒ”แƒŸแƒ˜แƒ›แƒจแƒ˜.
แƒšแƒ”แƒžแƒขแƒแƒžแƒ”แƒ‘แƒ˜ แƒ“แƒ แƒ™แƒแƒ›แƒžแƒ˜แƒฃแƒขแƒ”แƒ แƒ”แƒ‘แƒ˜
แƒจแƒ”แƒ’แƒ˜แƒซแƒšแƒ˜แƒแƒ— แƒฌแƒแƒ˜แƒ™แƒ˜แƒ—แƒฎแƒแƒ— Google Play-แƒ–แƒ” แƒจแƒ”แƒซแƒ”แƒœแƒ˜แƒšแƒ˜ แƒฌแƒ˜แƒ’แƒœแƒ”แƒ‘แƒ˜ แƒ—แƒฅแƒ•แƒ”แƒœแƒ˜ แƒ™แƒแƒ›แƒžแƒ˜แƒฃแƒขแƒ”แƒ แƒ˜แƒก แƒ•แƒ”แƒ‘ แƒ‘แƒ แƒแƒฃแƒ–แƒ”แƒ แƒ˜แƒก แƒ’แƒแƒ›แƒแƒงแƒ”แƒœแƒ”แƒ‘แƒ˜แƒ—.

แƒกแƒ”แƒ แƒ˜แƒ˜แƒก แƒ’แƒแƒ’แƒ แƒซแƒ”แƒšแƒ”แƒ‘แƒ

แƒ›แƒ”แƒขแƒ˜ แƒแƒ•แƒขแƒแƒ แƒ˜แƒกแƒ’แƒแƒœ Fouad Sabry

แƒ›แƒกแƒ’แƒแƒ•แƒกแƒ˜ แƒแƒฃแƒ“แƒ˜แƒแƒฌแƒ˜แƒ’แƒœแƒ”แƒ‘แƒ˜