| 阳小华,马家宇,万亚平,刘杰,刘华.因果关系与复杂系统控制[J].南华大学学报(自然科学版),2019,33(5):72~77.[YANG Xiaohua,MA Jiayu,WAN Yaping,LIU Jie,LIU Hua.Causality and Complex System Control[J].Journal of University of South China(Science and Technology),2019,33(5):72~77.] |
| 因果关系与复杂系统控制 |
| Causality and Complex System Control |
| 投稿时间：2019-06-24 |
| DOI： |
| 中文关键词: 复杂系统 智能控制 机器学习 因果关系 |
| 英文关键词:complex system intelligent control machine learning causality |
| 基金项目:国防科技创新特区项目(17-163-15-XJ-002-002-12;18-163-15-LZ-001-002-09) |
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| 中文摘要: |
| 简要介绍了因果关系的概念和模型,明确了机器学习是主流智能控制方法的基础,对人工智能从相关关系到因果关系的变化趋势进行了系统的讨论,提出以被控系统的因果建模作为复杂系统控制的起点,为解决复杂系统控制难题提供了新的思路。 |
| 英文摘要: |
| This paper briefly introduces the concept and model of causality,makes it clear that machine learning is the basis of the mainstream intelligent control method,systematically discusses the changing trend of artificial intelligence from correlation to causation,and puts forward the causal modeling of the controlled system as the starting point of the complex system control,which provides new ideas to solve the problem of complex system control. |
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