A Quantum Cognitive Map Model
Huang, Ying, Ni, Lin and Miao, Yuan (2009) A Quantum Cognitive Map Model. In: Fifth International Conference on Natural Computation (ICNC 2009) : 14-16 August 2009, Tianjin, China. Wang, Haiying, Low, Kay Soon, Wei, Kexin and Sun, Junqing, eds. IEEE Computer Society, Los Alamitos, California, pp. 28-31.
Abstract
Fuzzy Cognitive Maps (FCM) is an important graphic mean of representing causal relationship between concepts and analyzing inference patterns. In existing FCM, the value of the node which reflects the degree of activation of the concept fails to represent the multi-state nature of the concept. In order to eliminate the drawbacks from the existing FCM model, we for first time propose A Quantum Cognitive Map (QCM) model which integrates FCM with quantum computing. The proposed QCM model not only represents the multi-state nature of the quantum concept, but also illustrates the relationship between the concept and the influence weight. Since it preserves more information than FCM, QCM can better approximate the human cognitive process, and thus more effectively describe the real world.
Dimensions Badge
Altmetric Badge
Item type | Book Section |
URI | https://vuir.vu.edu.au/id/eprint/6311 |
DOI | 10.1109/ICNC.2009.642 |
Official URL | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn... |
ISBN | 9780769537368 |
Subjects | Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing Historical > FOR Classification > 0802 Computation Theory and Mathematics Historical > Faculty/School/Research Centre/Department > School of Engineering and Science |
Keywords | ResPubID19230, cognitive systems, fuzzy logic, quantum computing, fuzzy cognitive maps, human cognitive process, inference patterns analyzing, fuzzy cognitive maps, quantum cognitive map, quantum computing, quantum concept, computer science, email, information analysis, information science, pattern analysis, quantum mechanics |
Citations in Scopus | 3 - View on Scopus |
Download/View statistics | View download statistics for this item |