Zhao Wei.  Statistical cognitive computing analysis and modeling of cognitive model of enterprise incentive psychology.  Dynamic Systems and Applications 29 (2020) No. 3, 622-635

https://doi.org/10.46719/dsa202029317

ABSTRACT.
Cognitive computing is the main driving force of future automation work, cognitive technology is the changing force of future engineering system, and the application of enterprise cognitive computing can bring good benefits to enterprises. Therefore, enterprises pay more and more attention to incentive psychology, and gradually show the trend of the development of statistical cognitive computing model. In this paper, we first summarize the prior of super Gaussian distribution in computational cognition from the perspective of statistical analysis, and use SGP model to test prototype target detection, psychological pattern image response, and significant image relocation. The experimental results show that human visual cognitive system can not quickly find abnormal patterns when processing concurrent features, and SGP model can make up for this The disadvantages of SGP model are that the display information of the significant image is increased after the processing of SGP model. SGP model can relocate the significant image relatively well, which shows that SGP model can effectively solve the practical application problems such as image sorting, target detection and so on. Through the analysis of the application of modeling and practical algorithm model, the basic thinking data and theoretical results after the use of sample data are obtained, which is of theoretical significance for practical research.

Keywords. enterprise; cognitive computing; cognitive model; psychology