The long-term goal of artificial intelligence （AI） is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems t...The long-term goal of artificial intelligence （AI） is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented intelligence. This form of AI or machine intelligence is a feasible and important developing model. Hybrid-augmented intelligence can be divided into two basic models： one is human-in-the-loop augmented intelligence with human-computer collaboration, and the other is cognitive computing based augmented intelligence, in which a cognitive model is embedded in the machine learning system. This survey describes a basic framework for human-computer collaborative hybrid-augmented intelligence, and the basic elements of hybrid-augmented intelligence based on cognitive computing. These elements include intuitive reasoning, causal models, evolution of memory and knowledge, especially the role and basic principles of intuitive reasoning for complex problem solving, and the cognitive learning framework for visual scene understanding based on memory and reasoning. Several typical applications of hybrid-augmented intelligence in related fields are given.展开更多
建筑信息模型(Building Information Modeling)技术简称为BIM技术,是建筑CAD技术从基于点线面的二维表达向基于对象的三维形体与属性信息表达的转变。BIM技术方面的研究正成为国内外土木建筑工程信息技术研究的最大热点。本文详细阐述了...建筑信息模型(Building Information Modeling)技术简称为BIM技术,是建筑CAD技术从基于点线面的二维表达向基于对象的三维形体与属性信息表达的转变。BIM技术方面的研究正成为国内外土木建筑工程信息技术研究的最大热点。本文详细阐述了CAD、BIM与协同的关系,指出BIM技术的目标、核心与基础是BIM研究与应用需要深刻理解、不可回避的三个关键问题,进一步介绍了上海交大BIM研究团队所开展的研究工作,最后总结了当前BIM研究与应用存在的几个问题和对前景的展望。展开更多
基金Project supported by the Chinese Academy of Engi- neering, the National Natural Science Foundation of China （No. L1522023）, the National Basic Research Program （973） of China （No. 2015CB351703）, and the National Key Research and Development Plan （Nos. 2016YFB1001004 and 2016YFB1000903）
文摘The long-term goal of artificial intelligence （AI） is to make machines learn and think like human beings. Due to the high levels of uncertainty and vulnerability in human life and the open-ended nature of problems that humans are facing, no matter how intelligent machines are, they are unable to completely replace humans. Therefore, it is necessary to introduce human cognitive capabilities or human-like cognitive models into AI systems to develop a new form of AI, that is, hybrid-augmented intelligence. This form of AI or machine intelligence is a feasible and important developing model. Hybrid-augmented intelligence can be divided into two basic models： one is human-in-the-loop augmented intelligence with human-computer collaboration, and the other is cognitive computing based augmented intelligence, in which a cognitive model is embedded in the machine learning system. This survey describes a basic framework for human-computer collaborative hybrid-augmented intelligence, and the basic elements of hybrid-augmented intelligence based on cognitive computing. These elements include intuitive reasoning, causal models, evolution of memory and knowledge, especially the role and basic principles of intuitive reasoning for complex problem solving, and the cognitive learning framework for visual scene understanding based on memory and reasoning. Several typical applications of hybrid-augmented intelligence in related fields are given.
文摘建筑信息模型(Building Information Modeling)技术简称为BIM技术,是建筑CAD技术从基于点线面的二维表达向基于对象的三维形体与属性信息表达的转变。BIM技术方面的研究正成为国内外土木建筑工程信息技术研究的最大热点。本文详细阐述了CAD、BIM与协同的关系,指出BIM技术的目标、核心与基础是BIM研究与应用需要深刻理解、不可回避的三个关键问题,进一步介绍了上海交大BIM研究团队所开展的研究工作,最后总结了当前BIM研究与应用存在的几个问题和对前景的展望。
