中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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心理研究所 [2]
长春光学精密机械与物... [1]
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OAI收割 [5]
内容类型
期刊论文 [3]
会议论文 [2]
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2023 [1]
2016 [2]
2013 [1]
2009 [1]
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Individual wayfinding decisions under stress in indoor emergency situations: A theoretical framework and meta-analysis
期刊论文
OAI收割
Safety Science, 2023
作者:
Jing Lin
;
Nan Li
;
Li-Lin Rao
;
Ruggiero Lovreglio
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2023/01/30
Wayfinding
Stress
Indoor emergency
Cognitive process
Theoretical framework
Meta-analysis
A multi-level text representation model within background knowledge based on human cognitive process for big data analysis
期刊论文
OAI收割
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2016, 卷号: 19, 期号: 3, 页码: 1475-1487
作者:
Wei, Xiao
;
Zhang, Jun
;
Zeng, Daniel Dajun
;
Li, Qing
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2016/12/26
Text comprehension
Background knowledge
Text representation
Human cognitive process
Surface code
Text base
Situational model
Semantics
Cognitive mechanism related to line drawings and its applications in intelligent process of visual media: a survey
期刊论文
OAI收割
FRONTIERS OF COMPUTER SCIENCE, 2016, 卷号: 10, 期号: 2, 页码: 216-232
作者:
Liu, Yongjin
;
Yu, Minjing
;
Fu, Qiufang
;
Chen, Wenfeng
;
Liu, Ye
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2016/05/09
line drawings
cognitive computation
visual media
intelligent process
QoS-guaranteed opportunistic spectrum sharing under unreliable spectrum sensing
会议论文
OAI收割
2013 5th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE 2013, Chengdu, China, October 29, 2013 - October 31, 2013
Wang, Dapeng (1)
;
Liu, Lixiang (1)
;
Zhang, Chenyu (2)
;
Liu, Kai (2)
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2014/12/16
opportunistic spectrum sharing
cognitive radio networks
quality of service
Markov process
Mental imagery knowledge representation mode of human-level intelligence system (EI CONFERENCE)
会议论文
OAI收割
4th International Conference on Rough Sets and Knowledge Technology, RSKT 2009, July 14, 2009 - July 16, 2009, Gold Coast, QLD, Australia
作者:
Zhang D.
;
Zhang D.
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2013/03/25
For the human-level intelligence simulation we should simulate it from the essence of intelligence and with the research results of brain science
cognitive science
artificial intelligence and others. In our study
a mental imagery knowledge representation mode had been established based on cognitive mechanism of human. Two kinds of table named mental imagery concept attributes table and concept attribute value ranges table had been used together to represent mental imagery knowledge in system. Mental imagery concept attributes table which formed by the thought of concept lattice was used to decide relations among concepts and attributes under the circumstance of coarse granularity. While concept attribute value ranges table was used to record differences of individual objects belong to the same concept under the circumstance of fine granularity. The concrete structured method of tables and decision-making process of system were described in the paper. Finally
the validity and feasibility of the knowledge representation mode are illustrated with real examples. 2009 Springer Berlin Heidelberg.