探索人工智能与认知科学的融合，推动更懂人类思维的AI系统。
Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
- 将AI行为与认知框架对齐，增强其心理学可解释性。
- 强调具身化与文化情境对智能系统的重要性。
- 适合关注AI伦理、认知建模与人机协同的研究者。
认知科学深刻影响了人工智能（AI）、哲学、心理学、神经科学、语言学及文化研究等多个领域。许多AI突破源于认知理论，而AI也已成为推进认知研究的重要工具。这种双向互动促使我们全面审视AI与认知科学的交叉点。综合双方贡献可见，当前AI发展多聚焦于任务性能提升，其认知基础仍概念松散。我们认为，未来AI在认知科学中的关键在于不仅提高性能，更要构建能深化人类心智理解的系统。有前景的方向包括：使AI行为符合认知框架、将AI置于具身与文化背景中、发展个性化认知模型，并通过认知共评估重新思考AI伦理。
原文摘要 · Abstract (English)
Cognitive Science has profoundly shaped disciplines such as Artificial Intelligence (AI), Philosophy, Psychology, Neuroscience, Linguistics, and Culture. Many breakthroughs in AI trace their roots to cognitive theories, while AI itself has become an indispensable tool for advancing cognitive research. This reciprocal relationship motivates a comprehensive review of the intersections between AI and Cognitive Science. By synthesizing key contributions from both perspectives, we observe that AI progress has largely emphasized practical task performance, whereas its cognitive foundations remain conceptually fragmented. We argue that the future of AI within Cognitive Science lies not only in improving performance but also in constructing systems that deepen our understanding of the human mind. Promising directions include aligning AI behaviors with cognitive frameworks, situating AI in embodiment and culture, developing personalized cognitive models, and rethinking AI ethics through cognitive co-evaluation.
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