橡胶手错觉的深层主动推理模型
A deep active inference model of the rubber-hand illusion
摘要：
理解感知和行动如何处理感觉运动冲突，如橡胶手错觉（RHI），对于理解身体如何适应不确定的情况至关重要。最近的结果表明，在人类的RHI不仅产生的变化，在感知手臂的位置，但也会导致不自主的力量。在这里，我们描述了一个深度主动推理代理在虚拟环境中，我们受到的RHI，这是能够解释这些结果。我们表明，我们的模型，处理视觉高维输入，产生类似的感知和力量模式，在人类中发现的。
英文摘要：
Understanding how perception and action deal with sensorimotor conflicts, such as the rubber-hand illusion (RHI), is essential to understand how the body adapts to uncertain situations. Recent results in humans have shown that the RHI not only produces a change in the perceived arm location, but also causes involuntary forces. Here, we describe a deep active inference agent in a virtual environment, which we subjected to the RHI, that is able to account for these results. We show that our model, which deals with visual high-dimensional inputs, produces similar perceptual and force patterns to those found in humans.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
