| 人工智能的历史回顾和发展现状 |
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| 引用本文： | 顾险峰.人工智能的历史回顾和发展现状[J].自然杂志,2016,38(3):157-166. |
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| 作者姓名： | 顾险峰 |
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| 作者单位： | 纽约州立大学石溪分校计算机系，纽约 11794 |
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| 摘 要： | 简略地回顾了人工智能的历史和发展现状。分析比较了人工智能两大领域：符号主义和连接主义，同时介绍了各个领域的主要原理和方法。着重回顾了深度学习的历史、复兴的原因和主要的应用。
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| 关 键 词： | 人工智能 连接主义 符号主义 深度学习 图像识别 语音识别 神经网络 |
| 收稿时间： | 2016-05-10 |
Historical review and current development of artificial intelligence |
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| GU Xianfeng.Historical review and current development of artificial intelligence[J].Chinese Journal of Nature,2016,38(3):157-166. |
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| Authors: | GU Xianfeng |
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| Affiliation: | Department of Computer Science, State University of New York at Stony Brook, NY 11794 |
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| Abstract: | This work gives a brief review of the history of artificial intelligence, and analyzes the current status of the field. The main principles and methodologies of the major branches in AI included symbolism and connectionism. Furthermore, the history, and booming reasons and major applications of deep learning are introduced as well. |
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