Distributed under Creative Commons Cc-by 4.0 the Size-weight Illusion Is Not Anti-bayesian after All: a Unifying Bayesian Account
Distributed under Creative Commons Cc-by 4.0 the Size-weight Illusion Is Not Anti-bayesian after All: a Unifying Bayesian Account
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根据 Creative Commons Cc-by 4.0 分发，尺寸重量错觉毕竟不是反贝叶斯：统一的贝叶斯帐户
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通讯作者：
Ladan Shams
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作者：
Megan A. K. Peters;Anthony Barnhart;W. Ma;Ladan Shams
当我们举起两个大小不同但重量相等的物体时，我们认为较大的物体更重，但较小的物体感觉更重。然而，传统的贝叶斯方法具有“越大越轻”的先验知识，预测较小的物体应该感觉更轻;这种尺寸重量错觉（SWI）因此被贴上了“反贝叶斯”的标签，并困扰了几代心理学家。我们建议，以前的贝叶斯方法忽略了大脑的推理过程中的密度。在我们的贝叶斯模型中，物体的感知重量关系是基于它们的大小和推断的密度关系：观察者评估关于物体相对密度的竞争性分类假设，然后使用推断来产生最终的重量估计。该模型可以定性和定量地再现SWI，并解释其他研究人员的发现，也提出了一个新的预测，我们证实。同样的计算机制解释了其他多感觉现象和错觉; SWI遵循相同的过程表明，竞争先验贝叶斯推理可以解释人类在许多领域的感知。
When we lift two differently-sized but equally-weighted objects, we expect the larger to be heavier, but the smaller feels heavier. However, traditional Bayesian approaches with ''larger is heavier'' priors predict the smaller object should feel lighter; this Size-Weight Illusion (SWI) has thus been labeled ''anti-Bayesian'' and has stymied psychologists for generations. We propose that previous Bayesian approaches neglect the brain's inference process about density. In our Bayesian model, objects' perceived heaviness relationship is based on both their size and inferred density relationship: observers evaluate competing, categorical hypotheses about objects' relative densities, the inference about which is then used to produce the final estimate of weight. The model can qualitatively and quantitatively reproduce the SWI and explain other researchers' findings, and also makes a novel prediction, which we confirmed. This same computational mechanism accounts for other multisensory phenomena and illusions; that the SWI follows the same process suggests that competitive-prior Bayesian inference can explain human perception across many domains.