Study On Reasoning Mechanism Of Cognitive Maps Based On Data Resources And Its Implementation

Cognitive map is a tool of soft computing and a novel method for knowledge management and knowledge representation, and it also can be used to represent the causality between entities in related fields. Cognitive map inference is the process of reasoning from known knowledge to unknown knowledge based on cognitive map. Cognitive map can be used to represent knowledge by map directly,to model the complex system, and it has a powerful ability of numerical reasoning. Cognitive map reasoning can be used to predict the result of specific behaviors or to find the reasons of the facts, thus, it is considered as a hot research field in artificial intelligence these years.However, the previous research depended heavily on the expertise and ignored the objective data resource, which may lead to the phenomenon of information loss. While the current research focused on the representation of cognitive map, the foundation of cognitive map, and the application of cognitive map, etc. Besides, the research on cognitive map inference was so few, and lack of comprehensive and systemic research about inference mechanism and inference strategy.Firstly, we deeply analysed the development of cognitive map theory and the application of cognitive map, pointing out the problems of the contemporary study. Then we described the current methods of cognitive map inference (matrix reasoning, hierarchical reasoning, and rule-based reasoning included) elaborately and analyzed the shortcoming of each method with living examples. Furthermore, we mainly studied the matrix reasoning.In this paper did intensive study on transformation function of cognitive map reasoning, and analyzed the reasoning ability of binary transformation function, three-valued function and the sigmoid transformation function comparatively. The characteristics and the application scope of these three transformation functions were summarized. Based on the previous study, we analyzed four key issues in the process of reasoning (how to get the initial conditions for reasoning, how to set the reasoning model, the choice of transformation function, the judgement of the final state), and proposed a cognitive map inference algorithm. Combined with data preprocessing techniques, we used Visual C++ to implement"cognitive map inference system based on data resources". Lastly, we did experiments on the proposed inference algorithm and inference system by using meteorological data and medical data that in Chongqing area. The reasoning results were in line with the real world, which proved the effectiveness of the inference algorithm and the practicality of the inference system. And also explained the works in this paper have some significance for the development of cognitive map theory and the extension of its application.