The Human Cognitive Simulation Framework represents a significant advancement in integrating human cognitive capabilities into artificial intelligence systems. By merging short-term memory (conversation context), long-term memory (interaction context), advanced cognitive processing, and efficient knowledge management, it ensures contextual coherence and persistent data storage, enhancing personalization and continuity in human-AI interactions. The framework employs a unified database that synchronizes these contexts while incorporating logical, creative, and analog processing modules inspired by human brain hemispheric functions to perform structured tasks and complex inferences. Dynamic knowledge updates enable real-time integration, improving adaptability and fostering applications in education, behavior analysis, and knowledge management. Despite its potential to process vast data volumes and enhance user experience, challenges remain in scalability, cognitive bias mitigation, and ethical compliance. This framework lays the foundation for future research in continuous learning algorithms, sustainability, and multimodal adaptability, positioning Cognitive AI as a transformative model in emerging fields.

翻译：人类认知模拟框架代表了将人类认知能力整合到人工智能系统中的重大进展。通过融合短期记忆（对话上下文）、长期记忆（交互上下文）、高级认知处理和高效知识管理，该框架确保了上下文连贯性和持久数据存储，从而增强了人机交互的个性化和连续性。该框架采用统一数据库同步这些上下文，同时整合了受人类大脑半球功能启发的逻辑、创造和类比处理模块，以执行结构化任务和复杂推理。动态知识更新支持实时集成，提升了适应性，并促进了在教育、行为分析和知识管理等领域的应用。尽管该框架在处理海量数据和提升用户体验方面具有潜力，但在可扩展性、认知偏差缓解和伦理合规方面仍面临挑战。该框架为持续学习算法、可持续性和多模态适应性等未来研究奠定了基础，将认知AI定位为新兴领域的变革性模型。