Cognitive and behavioral research on religion has focused most in the last years on aspects which could be deemed ＂unconscious＂： inner mechanisms, innate patterns, or hidden cognitive structures broadly shared by h...Cognitive and behavioral research on religion has focused most in the last years on aspects which could be deemed ＂unconscious＂： inner mechanisms, innate patterns, or hidden cognitive structures broadly shared by humans. Very often, the ongoing research programs resort to computational models of mind in which the conscious side of that experience is mainly ignored. It becomes urgent to fill in the perceived gap, suggesting some lines of study that are able to account for the conscious dimensions of religion. An opportunity is offered by the new paths recently opened by extensive experimental research on conscious aspects of human experience and the value that leads authors to attribute to these features. Seizing on this opportunity, the paper reviews the state of the question and the available literature on conscious and unconscious aspects of mind and behavior. Taking it a step further, the paper tries to apply these general principles to the specific study of religious mind and behavior. Furthermore, some lines for future research are proposed as a result of the suggested program.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Cognitive and behavioral research on religion has focused most in the last years on aspects which could be deemed ＂unconscious＂： inner mechanisms, innate patterns, or hidden cognitive structures broadly shared by humans. Very often, the ongoing research programs resort to computational models of mind in which the conscious side of that experience is mainly ignored. It becomes urgent to fill in the perceived gap, suggesting some lines of study that are able to account for the conscious dimensions of religion. An opportunity is offered by the new paths recently opened by extensive experimental research on conscious aspects of human experience and the value that leads authors to attribute to these features. Seizing on this opportunity, the paper reviews the state of the question and the available literature on conscious and unconscious aspects of mind and behavior. Taking it a step further, the paper tries to apply these general principles to the specific study of religious mind and behavior. Furthermore, some lines for future research are proposed as a result of the suggested program.
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.
