The online version can be downloaded from here (CIM201603001(Revised)-04222016).
The accepted version can be downloaded from here (CIM201603001(Accepted)-05202016-6).
Human vs. Computer Go: Review and Prospect @ IEEE CIS
Integrated Human and Computational Intelligence for Future Go Learning
based on Google AlphaGo’s Historic Achievement
Chang-Shing Lee and Mei-Hui Wang, National University of Tainan, Taiwan
Shi-Jim Yen, National Dong Hwa University, Taiwan
Ting-Han Wei and I-Chen Wu, National Chiao Tung University, Taiwan
Ping-Chiang Chou and Chun-Hsun Chou, Taiwan Go Association, Taiwan
Ming-Wan Wang, Nihon Ki-in Go Institute, Japan
Tai-Hsiung Yang, Haifong Weiqi Academy, Taiwan
Abstract
The Google DeepMind challenge match in March 2016 was a historic achievement for computer Go development. This article discusses the development of computational intelligence (CI) and its relative strength in comparison with human intelligence for the game of Go. We first summarize the milestones achieved for computer Go from 1998 to 2016. Then, the computer Go programs that have participated in previous IEEE CIS competitions as well as methods and techniques used in AlphaGo are briefly introduced. Commentary from three high-level professional Go players on the five AlphaGo versus Lee Sedol games are also included. We conclude that AlphaGo beating Lee Sedol is a huge achievement in artificial intelligence (AI) based largely on CI methods. In the future, powerful computer Go programs such as AlphaGo are expected to be instrumental in promoting Go education and AI real-world applications.