A deepening study of philosophical cognitive logic based on intelligent interaction

Abstract

This paper analyzes the research object of cognitive logic in the context of information technology and philosophical reflection and constructs a model of cognitive logic for contextual dynamics. Contextual recognition of philosophical cognitive logic is achieved through contextual sequence feature extraction, and realistic, intelligent interaction is analyzed through probabilistic potential semantic analysis, while philosophical cognitive logic deepening is achieved using PELP grammar. The analysis of the deepening model showed that the interaction degree of the mental dimension increased from 0.79 to 0.91, and the interaction degree of the thinking dimension increased from 0.88 to 0.97. Applying the model to learning, the difference between learning methods without the model was up to 15 points, and the deepening of philosophical cognitive logic based on intelligent interaction could improve thinking ability.

Keywords

• contextual sequence features
• probabilistic potential analysis
• pelp grammar
• intelligent interaction
• philosophical cognitive logic
• 97p38