作为概率学偏好学习的过渡性推断

Francesco Mannella1, Giovanni Pezzulo2

  • 1Institute of Cognitive Sciences and Technologies, National Research Council, 00185, Rome, Italy.

PubMed
概括

本研究引入了一个新的概率偏好学习框架,用于过渡性推理 (TI). 马洛斯模型有效地重现了关键的TI效应,并与神经活动保持一致,为认知机制提供了洞察力.

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