A Quantum Cognitive Map Model

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.