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Symbiotic_Perception_AI_Model.zip
Model Function: Implements the core modules of the "Symbiotic Perception" AI model, including a two-way perception module, a dynamic adaptation engine, and an incremental learning component, to simulate the interaction and evolution of AI and humans in cognitive collaboration scenarios.
Code Structure:
- perception_module.py : Responsible for data collection and perceptual analysis of user behaviors and thinking tendencies.
- adaptation_engine.py : Dynamically adjusts the AI's output format and content adaptation strategy based on perception results.
- incremental_learning.py : Performs incremental learning updates of the model based on user feedback and interaction data.
- mainpy : The main program for model operation, demonstrating the collaborative workflow of each module.
Usage Instructions: A Python 3.8+ environment is required. After installing dependency libraries such as numpy and pytorch, run mainpy to start the model demonstration.
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