Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

Fei-Yue Wang; Jun Jason Zhang; Xinhu Zheng; Xiao Wang; Yong Yuan; Xiaoxiao Dai; Jie Zhang; Liuqing Yang

Volume 3 Issue 2

Apr. 2016

IEEE/CAA Journal of Automatica Sinica

JCR Impact Factor: 11.8, Top 4% (SCI Q1)

CiteScore: 17.6, Top 3% (Q1)
Google Scholar h5-index: 77， TOP 5

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2016 > 3(2): 113-120

Fei-Yue Wang, Jun Jason Zhang, Xinhu Zheng, Xiao Wang, Yong Yuan, Xiaoxiao Dai, Jie Zhang, and Liuqing Yang, "Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond," IEEE/CAA J. Autom. Sinica, vol. 3, no. 2, pp. 113-120, . 2016.

Citation:

Fei-Yue Wang, Jun Jason Zhang, Xinhu Zheng, Xiao Wang, Yong Yuan, Xiaoxiao Dai, Jie Zhang, and Liuqing Yang, "Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond," IEEE/CAA J. Autom. Sinica, vol. 3, no. 2, pp. 113-120, . 2016.

Citation:

Fei-Yue Wang, Jun Jason Zhang, Xinhu Zheng, Xiao Wang, Yong Yuan, Xiaoxiao Dai, Jie Zhang, and Liuqing Yang, "Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond," IEEE/CAA J. Autom. Sinica, vol. 3, no. 2, pp. 113-120, . 2016.

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Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

1. IEEE;
2. the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences (SKL-MCCS, CASIA);
3. Research Center of Computational Experiments and Parallel Systems, The National University of Defense Technology;
4. the Department of Electrical and Computer Engineering, Ritchie School of Engineering and Computer Science, University of Denver;
5. the Department of Computer Science and Engineering, University of Minnesota;
6. the Qingdao Academy of Intelligent Industries (QAII), Qingdao, Shandong, China, and SKL-MCCS, CASIA;
7. the Department of Electrical and Computer Engineering, Colorado State University

Funds:

National Natural Science Foundation of China(61533019,71232006,61233001,71402178,71472174)

Abstract

Abstract

An investigation on the impact and significance of the Alpha Go vs. Lee Sedol Go match is conducted, and concludes with a conjecture of the Alpha Go Thesis and its extension in accordance with the Church-Turing Thesis in the history of computing. It is postulated that the architecture and method utilized by the Alpha Go program provide an engineering solution for tackling issues in complexity and intelligence. Specifically,the Alpha Go Thesis implies that any effective procedure for hard decision problems such as NP-hard can be implemented with Alpha Go-like approach. Deep rule-based networks are proposed in attempt to establish an understandable structure for deep neural networks in deep learning. The success of Alpha Go and corresponding thesis ensure the technical soundness of the parallel intelligence approach for intelligent control and management of complex systems and knowledge automation.
- ACP,
- AlphaGo,
- AlphaGo Thesis,
- Church-Turing Thesis,
- deep learningy deep neural networks,
- deep rule-based networks knowledge automation,
- parallel intelligence,
- parallel control,
- parallel management

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References(16)

References

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Where Does AlphaGo Go: From Church-Turing Thesis to AlphaGo Thesis and Beyond

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