人类通过环境推理机制，用更高维运动探索实现创新行为。
From Theory of Mind to Theory of Environment: Counterfactual Simulation of Latent Environmental Dynamics
- 基于心智理论构建环境推理模型，扩展运动探索维度
- 在复杂环境中，高维运动可提升行为创新能力
- 为理解人类创新行为提供新认知框架，适合认知科学读者
脊椎动物运动系统采用降维策略以降低运动协调的复杂性，实现高效控制。但当环境密集且存在隐藏的动作-结果关联时，更高的运动复杂性反而能促进行为创新。人类可能独特地通过社会线索推断隐藏环境动态，利用与心智理论共享的计算机制。本文提出的“环境理论”通过拓展运动探索维度，支持行为创新。
原文摘要 · Abstract (English)
The vertebrate motor system employs dimensionality-reducing strategies to limit the complexity of movement coordination, for efficient motor control. But when environments are dense with hidden action-outcome contingencies, movement complexity can promote behavioral innovation. Humans, perhaps uniquely, may infer the presence of hidden environmental dynamics from social cues, by drawing upon computational mechanisms shared with Theory of Mind. This proposed "Theory of Environment" supports behavioral innovation by expanding the dimensionality of motor exploration.
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