中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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The international investment in theme parks: Spatial distribution and decision-making mechanism, an empirical study for China 期刊论文  OAI收割
TOURISM MANAGEMENT, 2018, 卷号: 67, 页码: 342-350
作者:  
Li, Tao;  Liu, Jiaming;  Zhu, He
  |  收藏  |  浏览/下载:37/0  |  提交时间:2019/05/30
The international investment in theme parks: Spatial distribution and decision-making mechanism, an empirical study for China 期刊论文  OAI收割
TOURISM MANAGEMENT, 2018, 卷号: 67, 页码: 342-350
作者:  
Li, Tao;  Liu, Jiaming;  Zhu, He
  |  收藏  |  浏览/下载:24/0  |  提交时间:2019/05/30
The international investment in theme parks: Spatial distribution and decision-making mechanism, an empirical study for China 期刊论文  OAI收割
TOURISM MANAGEMENT, 2018, 卷号: 67, 页码: 342-350
作者:  
Li, Tao;  Liu, Jiaming;  Zhu, He
  |  收藏  |  浏览/下载:20/0  |  提交时间:2019/05/30
Analysis and Control of Networked Game Dynamics via A Microscopic Deterministic Approach 期刊论文  OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2016, 卷号: 61, 期号: 12, 页码: 4118-4124
作者:  
Tan, Shaolin;  Wang, Yaonan;  Lu, Jinhu
  |  收藏  |  浏览/下载:32/0  |  提交时间:2018/07/30
Neural mechanism of proposer's decision-making in the ultimatum and dictator games 期刊论文  OAI收割
NEURAL REGENERATION RESEARCH, 2013, 卷号: 8, 期号: 4, 页码: 357-362
作者:  
Zheng, Hongming;  Zhu, Liqi
收藏  |  浏览/下载:30/0  |  提交时间:2015/05/19
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.  
Choice strategies in Drosophila are based on competition between olfactory memories 期刊论文  OAI收割
EUROPEAN JOURNAL OF NEUROSCIENCE, 2009, 卷号: 30, 期号: 2, 页码: 279-288
Yin, Yan; Chen, Nannan; Zhang, Shixing; Guo, Aike
收藏  |  浏览/下载:21/0  |  提交时间:2012/07/13