Concept contextualism through the lens of Predictive Processing

Concept contextualism is the view that the information associated with a concept is dependent on the context in which it is tokened. This view is gaining support in recent years. The received and contrary view is concept invariantism, according to which a concept is instantiated by a core of information that is stable across all contexts of use. While psychologists, cognitive scientists, philosophers, and linguists have proposed concept contextualism from different perspectives, no specific cognitive-computational model that provides a mechanism for the dynamics of context-sensitive concepts is available so far. In this paper, I make the case that an emerging cognitive paradigm, Predictive Processing (PP), has the resources to provide a plausible cognitive-computational model for concept contextualism and hence increase the plausibility of this view.