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THE POSITIVE EFFECTS OF VOLATILE COMPONENTS IN JIAWEI WENDAN PRESCRIPTION ON THE IMPROVEMENT OF THE AUTISTIC BEHAVIOR IN RATS
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作者 Sheng-Nan Guo Jin-Qing Lu +3 位作者 Qiang Li Li-Juan Wan Jun-Jie Xu Jun-Long Cai 《World Journal of Traditional Chinese Medicine》 2015年第4期97-98,共2页
The objective was to investigate the effects of volatile components in Jiawei Wendan prescription on autistic behavior in rats,to analyze the volatile constituents and then to explore its effective components based on... The objective was to investigate the effects of volatile components in Jiawei Wendan prescription on autistic behavior in rats,to analyze the volatile constituents and then to explore its effective components based on the treatment of autism.The pregnant mice were divided into two groups according to the method that Schneider used. 展开更多
关键词 VPA THE POSITIVE EFFECTS OF VOLATILE COMPONENTS IN JIAWEI WENDAN prescription ON THE IMPROVEMENT OF THE AUTISTIC behavior IN RATS
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Parallel cognition:hybrid intelligence for human-machine interaction and management 被引量:9
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作者 Peijun YE Xiao WANG +2 位作者 Wenbo ZHENG Qinglai WEI Fei-Yue WANG 《Frontiers of Information Technology & Electronic Engineering》 SCIE EI CSCD 2022年第12期1765-1779,共15页
As an interdisciplinary research approach,traditional cognitive science adopts mainly the experiment,induction,modeling,and validation paradigm.Such models are sometimes not applicable in cyber-physical-socialsystems ... As an interdisciplinary research approach,traditional cognitive science adopts mainly the experiment,induction,modeling,and validation paradigm.Such models are sometimes not applicable in cyber-physical-socialsystems (CPSSs),where the large number of human users involves severe heterogeneity and dynamics.To reduce the decision-making conflicts between people and machines in human-centered systems,we propose a new research paradigm called parallel cognition that uses the system of intelligent techniques to investigate cognitive activities and functionals in three stages:descriptive cognition based on artificial cognitive systems (ACSs),predictive cognition with computational deliberation experiments,and prescriptive cognition via parallel behavioral prescription.To make iteration of these stages constantly on-line,a hybrid learning method based on both a psychological model and user behavioral data is further proposed to adaptively learn an individual’s cognitive knowledge.Preliminary experiments on two representative scenarios,urban travel behavioral prescription and cognitive visual reasoning,indicate that our parallel cognition learning is effective and feasible for human behavioral prescription,and can thus facilitate human-machine cooperation in both complex engineering and social systems. 展开更多
关键词 Cognitive learning Artificial intelligence behavioral prescription
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