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	Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective 期刊论文 OAI收割 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 卷号: 29, 期号: 12, 页码: 2655-2668 作者: Bai, Jie; Li, Linjing; Zeng, Daniel; Li, Qiudan \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2018/01/04 Text Analysis Knowledge Representation Cognitive Simulation Association Rules
	Computer simulation research on cognitive mechanism of human vision (EI CONFERENCE) 会议论文 OAI收割 International Conference on Measuring Technology and Mechatronics Automation, ICMTMA 2010, March 13, 2010 - March 14, 2010, Changsha, China Ke H.; You W. 收藏 \| 浏览/下载：44/0 \| 提交时间：2013/03/25 The development of intelligent system which accorded with human cognitive mechanism will exert a profound influence on national defense economy education culture and etc. A computer simulation method according with cognitive mechanism of human vision was proposed on the basis of Structural Decomposition Theory. Many basic shape feature information tables of similar object from different side can determine a kind of object uniquely. System weighted basic shape features in two different information tables by membership degree and then calculated similarity. The identifying object which had the maximum similarity with it in system was what we needed. The system used 83 pictures of 6 kinds of objects with different side for training and testing. The experiment results demonstrated task of basic shape extraction object recognition and others can be completed effectively with the method in paper. The method in paper can be a new attempt on computer simulation method according with cognitive mechanism of human vision from cognitive field. 2010 Crown Copyright.
	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: 收藏 \| 浏览/下载：34/0 \| 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.
	scenario-based interactive intention understanding in pen-based user interfaces 会议论文 OAI收割 1st International Conference on Affective Computing and Intelligent Interaction, Beijing, PEOPLES R CHINA, OCT 22-24, Wang XC; Qin YY; Tian F; Dai GZ \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2011/07/28 Algorithms Artificial intelligence Cognitive systems Computer simulation Computer software