Bridging Minds and Machines: Toward an Integration of AI and Cognitive Science
Rui Mao, Qian Liu, Xiao Li, Erik Cambria, Amir Hussain
认知科学（Cognitive Science）深刻塑造了人工智能（AI）、哲学、心理学、神经科学、语言学和文化学等多个学科领域。AI领域的许多突破都源于认知理论，而AI本身已成为推进认知研究不可或缺的工具。这种相互促进的关系促使我们对AI与认知科学之间的交叉点进行全面回顾。通过综合两个视角的关键贡献，我们观察到AI的进展主要强调实际任务性能，而其认知基础在概念上仍然较为分散。我们认为，AI在认知科学中的未来不仅在于提升性能，更在于构建能够深化我们对人类心智理解的系统。有前景的研究方向包括：将AI行为与认知框架对齐、将AI置于具身化和文化情境中、开发个性化认知模型，以及通过认知协同评估重新思考AI伦理。
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 pro...