主导逻辑作为“管理工具”具有“信息过滤器”的实践功效,那么“信息过滤器”为什么能够发挥和如何发挥实践功效?主导逻辑除了“过滤器”还有其他“管理工具”实践功效吗?对这些问题的研究关系到主导逻辑如何从一个“模糊抽象”的概念...主导逻辑作为“管理工具”具有“信息过滤器”的实践功效,那么“信息过滤器”为什么能够发挥和如何发挥实践功效?主导逻辑除了“过滤器”还有其他“管理工具”实践功效吗?对这些问题的研究关系到主导逻辑如何从一个“模糊抽象”的概念转变为一个可以指导企业实践的“管理工具”。本文聚焦于成功实施成本领先战略的案例企业T M T主导逻辑,依据主导逻辑的载体——“管理认知”的“关注焦点”“因果逻辑”两个维度,运用因果映射法使T M T成本领先战略主导逻辑的信息“关注焦点”和“因果逻辑”可视化,结合主导逻辑因果映射图特征分析和T M T主导逻辑与成本领先战略行动决策、成本领先战略目标关系分析,最终分析出了除“信息过滤器”之外还存在“信息反应器”管理实践功效,并且归纳分析了TMT竞争战略主导逻辑的“五点三链”组成结构,进而回答了T M T竞争战略主导逻辑作为“管理工具”为什么能够发挥实践功效的作用机理,从理论上挖掘和释放主导逻辑作为管理工具的潜在价值,同时对企业实践也有重要启迪。展开更多
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
文摘主导逻辑作为“管理工具”具有“信息过滤器”的实践功效,那么“信息过滤器”为什么能够发挥和如何发挥实践功效?主导逻辑除了“过滤器”还有其他“管理工具”实践功效吗?对这些问题的研究关系到主导逻辑如何从一个“模糊抽象”的概念转变为一个可以指导企业实践的“管理工具”。本文聚焦于成功实施成本领先战略的案例企业T M T主导逻辑,依据主导逻辑的载体——“管理认知”的“关注焦点”“因果逻辑”两个维度,运用因果映射法使T M T成本领先战略主导逻辑的信息“关注焦点”和“因果逻辑”可视化,结合主导逻辑因果映射图特征分析和T M T主导逻辑与成本领先战略行动决策、成本领先战略目标关系分析,最终分析出了除“信息过滤器”之外还存在“信息反应器”管理实践功效,并且归纳分析了TMT竞争战略主导逻辑的“五点三链”组成结构,进而回答了T M T竞争战略主导逻辑作为“管理工具”为什么能够发挥实践功效的作用机理,从理论上挖掘和释放主导逻辑作为管理工具的潜在价值,同时对企业实践也有重要启迪。
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.
