Backward Cloud Transformation Algorithm for Realizing Stability Bidirectional Cognitive Mapping
XU Chang-Lin1,2,WANG Guo-Yin1,2,3
1.School of Information Science and Technology,Southwest Jiaotong University,Chengdu 610031 2.Chongqing Key Laboratory of Computational Intelligence,Chongqing University of Posts and Telecommunications,Chongqing 400065 3.Institute of Electronic Information Technology,Chongqing Institute of Green and Intelligent Technology,Chinese Academy of Sciences,Chongqing 401122
Abstract：The uncertainty of human cognition for the objective world is mainly reflected by the basic unit of cognition,that is,concept. In this paper,based on the cloud model theory,a new stable backward cloud transformation algorithm is proposed firstly,and the stability of the method is illustrated by experimental comparison. Secondly,according to the characteristics of the transformation between the intension and extension of a concept,which is implemented by the forward cloud transformation and backward cloud transformation respectively,the stable bidirectional cognitive processes between intension and extension of concept are simulated by the forward cloud transformation algorithm and the backward cloud transformation algorithm.
[1] Robert L S,Otto H M,MacLin M K. Cognitive Psychology. 8th Edition. Boston,USA: Pearson/Allyn and Bacon,2008 [2] Li Deyi,Liu Changyu,Du Yi,et al. Artificial Intelligence with Uncertainty. Journal of Software,2004,15(11): 1583-1594 (in Chinese) (李德毅,刘常昱,杜 鹢,等.不确定性人工智能.软件学报,2004,15(11): 1583-1594) [3] Li Deyi,Du Yi. Artificial Intelligence with Uncertainty. London,UK: Chapman and Hall/CRC, 2007 [4] Zajonc R B,Morrissette J. The Role of Uncertainty in Cognitive Change. The Journal of Abnormal and Social Psychology,1960,61(2): 168-175 [5] Quayle J D,Ball L J. Cognitive Uncertainty in Syllogistic Reasoning: An Alternative Mental Models Theory // Proc of the 23rd Annual Conference of the Cognitive Science Society. Mahwah,USA,2001: 792-797 [6] Wallerstein I. The Uncertainties of Knowledge. Philadelphia,USA: Temple University Press,2004 [7］Wang Guoyin,Miao Duoqian,Wu Weizhi,et al. Uncertain Know-ledge Representation and Processing Based on Rough Set. Journal of Chongqing University of Posts and Telecommunications: Natural Science Edition,2010,22(5): 541-544 (in Chinese) (王国胤,苗夺谦,吴伟志,等.不确定信息的粗糙集表示和处理.重庆邮电大学学报:自然科学版,2010,22(5): 541-544) [8] Wang Zikun. Foundations and Applications of the Probability Theory. 3rd Edition. Beijing,China: Beijing Normal University Press,1996 (in Chinese) (王梓坤.概率论基础及其应用.第3版.北京:北京师范大学出版社,1996) [9] Zadeh L A. Fuzzy Sets. Information and Control,1965,8(3): 338-353 [10] Pawlak Z. Rough Sets. International Journal of Computer and Information Sciences,1982,11(5): 341-356 [11] Wang Guoyin,Yao Yiyu,Yu Hong. A Survey on Rough Set Theory and Applications. Chinese Journal of Computers,2009,32(7): 1229-1246 (in Chinese) (王国胤,姚一豫,于 洪.粗糙集理论与应用研究综述.计算机学报,2009,32(7): 1229-1246) [12] Wang Guoyin. Rough Set Based Uncertainty Knowledge Expressing and Processing // Proc of the 13th International Conference on Rough Sets,Fuzzy Sets,Data Mining and Granular Computing. Moscow,Russia,2011: 11-18 [13] Li Deyi,Meng Haijun,Shi Xuemei. Membership Clouds and Membership Cloud Generators. Journal of Computer Research and Development,1995,32(6): 15-20 (in Chinese) (李德毅,孟海军,史雪梅.隶属云和隶属云发生器.计算机研究与发展,1995,32(6): 15-20) [14] Li Deyi,Liu Changyu. Study on the Universality of the Normal Cloud Model. Engineering Sciences,2004, 6(8): 28-34 (in Chinese) (李德毅,刘常昱.论正态云模型的普适性.中国工程科学,2004,6(8): 28-34) [15] Li Deyi,Liu Changyu,Gan Wenyan. A New Cognitive Model: Cloud Model. International Journal of Intelligent Systems,2009,24(3): 357-375 [16] Liu Changyu,Feng Mang,Dai Xiaojun,et al. A New Algorithm of Backward Cloud. Journal of System Simulation,2004,16(11): 2417-2420 (in Chinese) (刘常昱,冯 芒,戴晓军,等.基于云X信息的逆向云新算法. 系统仿真学报,2004,16(11): 2417-2420) [17] Wu Tao,Qin Kun. Image Segmentation Using Cloud Model and Data Field. Pattern Recognition and Artificial Intelligence,2012,25(3): 397-405 (in Chinese) (吴 涛,秦 昆.利用云模型和数据场的图像分割方法.模式识别与人工智能,2012,25(3): 397-405 ) [18］Wang Yingxu,Pedrycz W,Baciu G,et al. Perspectives on Cognitive Computing and Applications: Summary of Plenary Panel I of IEEE ICCI10 // Proc of the 9th IEEE International Conference on Cognitive Informatics. Beijing,China,2010: 8-16 [19] Snaider J,McCall R,Franklin S. Time Production and Representation in a Conceptual and Computational Cognitive Model. Cognitive Systems Research,2012,13(1): 59-71 [20] Wang Guoyin,Xu Changlin. Cloud Model-A Bidirectional Cognition Model between Concept′s Extension and Intension // Pro of the International Conference on Advanced Machine Learning Technologies and Applications. Cairo,Egypt,2012: 391-400
2013, Vol. 26 
