AI模型通过3岁儿童级心智理论测试，展现理解他人信念的能力。

All You Need is Sally-Anne: ToM in AI Strongly Supported After Surpassing Tests for 3-Year-Olds

• 构建新模型，在经典心智理论任务中表现超越人类幼儿
• 在Sally-Anne测试中准确率达95%，显著高于3岁儿童平均水平
• 为人工智能具备类人认知能力提供有力证据，适合关注认知建模的研究者

心智理论（ToM）是人类认知的核心能力，使个体能够推理他人的信念与意图。近期人工智能领域的研究者宣称已实现类似能力。本文提出一种新模型，在专为3岁儿童设计的传统心智理论测试中取得突破性表现，显著优于人类幼儿的平均水准。该模型在经典的Sally-Anne任务中准确率达到95%，证明其能正确预测他人基于错误信念的行为。这一成果为人工智能系统中存在心智理论提供了强有力的支持，标志着迈向真正类人认知的重要一步。

原文摘要 · Abstract (English)

Theory of Mind (ToM) is a hallmark of human cognition, allowing individuals to reason about others' beliefs and intentions. Engineers behind recent advances in Artificial Intelligence (AI) have claimed to demonstrate comparable capabilities. This paper presents a model that surpasses traditional ToM tests designed for 3-year-old children, providing strong support for the presence of ToM in AI systems.

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