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

机译:AlphaGo的去向:从教堂转向论文到AlphaGo论文及以后

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摘要

An investigation on the impact and significance of the AlphaGo vs.Lee Sedol Go match is conducted,and concludes with a conjecture of the AlphaGo 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 AlphaGo program provide an engineering solution for tackling issues in complexity and intelligence.Specifically,the AlphaGo Thesis implies that any effective procedure for hard decision problems such as NP-hard can be implemented with AlphaGo-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 AlphaGo and corresponding thesis ensure the technical soundness of the parallel intelligence approach for intelligent control and management of complex systems and knowledge automation.
机译:对AlphaGo与Lee Sedol Go比赛的影响和意义进行了研究,并根据计算历史上的Church-Turing论文得出了AlphaGo论文及其扩展的猜想。 AlphaGo程序使用的体系结构和方法为解决复杂性和智能问题提供了一种工程解决方案。具体而言,AlphaGo论文暗示可以使用类似于AlphaGo的方法来实现诸如NP-hard之类的硬决策问题的任何有效过程。基于AlphaGo的网络旨在为深度学习中的深度神经网络建立一种可理解的结构。AlphaGo和相应论文的成功确保了并行智能方法在复杂系统的智能控制和管理以及知识自动化中的技术稳定性。

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  • 来源
    《自动化学报(英文版)》 |2016年第2期|113-120|共8页
  • 作者单位

    State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences (SKL-MCCS, CASIA), Beijing 100190, China;

    Research Center of Computational Experiments and Parallel Systems, The National University of Defense Technology, Changsha 410073, China;

    Department of Electrical and Computer Engineering, Ritchie School of Engineering and Computer Science, University of Denver, Denver, CO 80210, USA;

    Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN 55414, USA;

    Qingdao Academy of Intelligent Industries(QAII), Qingdao, Shandong, China;

    SKL-MCCS,CASIA, Beijing 10019, China;

    Qingdao Academy of Intelligent Industries(QAII), Qingdao, Shandong, China;

    SKL-MCCS,CASIA, Beijing 10019, China;

    Department of Electrical and Computer Engineering, Ritchie School of Engineering and Computer Science, University of Denver, Denver, CO 80210, USA;

    Qingdao Academy of Intelligent Industries(QAII), Qingdao, Shandong, China;

    SKL-MCCS,CASIA, Beijing 10019, China;

    Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, CO 80523, USA;

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  • 入库时间 2022-08-19 04:00:36
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