首次为机器心智理论给出严谨定义，推动智能系统理解他人意图。
A formal definition and meta-model for a machine theory of mind
- 基于认知心理学等多学科证据构建形式化定义
- 提出可整体评估的机器心智理论元模型
- 适合研究人工智能社会智能与共情能力的学者
本文首次基于认知心理学、神经科学和人工智能的实证支持，提出机器心智理论的严格形式化定义，并以此为视角审视当前领域前沿进展，推动未来研究议程以突破该难题。同时，论文提出一个通用的整体性元模型，并分析现有模型在实证基准测试方面的状态。
原文摘要 · Abstract (English)
This paper proposes, for the first time, a rigorous formal definition of the concept of Machine Theory of Mind, based on principles supported by evidence from cognitive psychology, neuroscience and artificial intelligence, and uses the above as a lens to examine state-of-the-art and current efforts in the field, driving a potential agenda for further research there able to "crack" the problem. It also advances a general holistic meta-model for Machine Theory of Mind, and examines the state of the art when it comes to empirically benchmarking such models.
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