机器推理的进展与展望

doi:10.16451/j.cnki.issn1003-6059.202101001

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Abstract

The development of machine learning algorithms are limited by the problems, such as weak generalization ability, poor robustness and lack of interpretability. In this paper, the important role of reasoning for machine learning human knowledge and logic, understanding and interpreting the world is illustrated. Firstly, the reasoning mechanism of the human brain is studied from cognitive maps, neurons and reward circuits, to brain-inspired intuitive reasoning, neural networks and reinforcement learning. Then, the current situation, progress and challenges of machine reasoning methods and their interrelationships are summarized, including intuitive reasoning, commonsense reasoning, causal reasoning and relational reasoning. Finally, the application prospects and future research directions of machine reasoning are analyzed.

Key words： Artificial Intelligence Machine Reasoning Intuitive Reasoning Causal Reasoning

Received: 27 December 2020

ZTFLH:

TP 391

Fund:

Key Program of National Natural Science Foundation of China(No.91748208), Key Research and Development Project of Shaanxi Province(No.2018ZDCXLGY0607), General Program of National Natural Science Foundation of China(No.61973246), Program of Ministry of Education of China for the University

Corresponding Authors: LAN Xuguang, Ph.D., professor. His research interests include computer vision and machine learning.

About author:: DING Mengyuan, Ph.D. candidate. Her research interests include computer vision reasoning.
DING Mengyuan, Ph.D. candidate. Her research interests include computer vision reasoning.
PENG Ru, Ph.D. candidate. Her research interests include scene understanding based on computer vision.
ZHENG Nanning, Ph.D., professor. His research interests include computer vision and pattern recognition.

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Cite this article:

DING Mengyuan,LAN Xuguang,PENG Ru等. Progress and Prospect of Machine Reasoning[J]. , 2021, 34(1): 1-13.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202101001 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2021/V34/I1/1

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