WITHDRAWN: Probability learned neural model for human behavior analysis based on language cognition

Abstract

Abstract Human Behavior modeling and Language Cognition is a significant component in the application domain, like social, behavioral, and healthcare research. However, accurate prediction to understand the human behavior determinant roles and cognitive states helps analyze humans' behaviors as a critical challenge by various conventional methods. Hence in this research, the Probability learned Neural Model (PLNM) had been proposed to address the critical issues related to testing, training, and classify the cognitive states for accurate prediction of roles and rules of the human mind. This conceptual model describes the user's psychological behavior by utilizing activities, action, inter and intra activity behavior, and language modeling. Furthermore, the architecture shows how the probability model enables users to predict the next steps and effectively detect user psychological anomalies. The lab-scale numerical results show that accurate prediction in human psychological behavior and its quality shows the proposed framework's stability.