  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.
