We introduce the predictive processing account of body representation, according to which body representation emerges via a domain-general scheme of (long-term) prediction error minimisation. We contrast this account against one where body representation is underpinned by domain-specific systems, whose exclusive function is to track the body. We illustrate how the predictive processing account offers considerable advantages in explaining various empirical findings, and we draw out some implications for body representation research.

According to the thinking parts problem, any part sufficient for thought—e.g. a head—is a good candidate for being a thinker, and therefore being us. So we can’t assume that we—thinkers—are human beings rather than their proper parts. Many solutions to this problem have been proposed. However, I will show that the views currently on the market all face serious problems. I will then offer a new solution that avoids these problems. The thinking parts problem arises from considerations that seem to (...) be empirically substantiated. One virtue of my solution is that in addition to its theoretical apparatus it appeals to empirically substantiated considerations. (shrink)