Research Repository

A Quantum Cognitive Map Model

Huang, Ying and 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 and Low, Kay Soon and Wei, Kexin and Sun, Junqing, eds. IEEE Computer Society, Los Alamitos, California, pp. 28-31.

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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.

Item Type: Book Section
ISBN: 9780769537368
Uncontrolled 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
Subjects: FOR Classification > 0801 Artificial Intelligence and Image Processing
FOR Classification > 0802 Computation Theory and Mathematics
Faculty/School/Research Centre/Department > School of Engineering and Science
Depositing User: VUIR
Date Deposited: 27 Jun 2013 07:17
Last Modified: 27 Jun 2013 07:17
URI: http://vuir.vu.edu.au/id/eprint/6311
DOI: 10.1109/ICNC.2009.642
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Citations in Scopus: 1 - View on Scopus

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