Abstract

Major proponents of both Distributed Cognition and Predictive Processing have argued that the two theoretical frameworks are strongly compatible. An important conjecture supporting the union of the two frameworks is that cultural practices tend to reduce entropy —that is, to increase predictability— at all scales in a cultural cognitive ecosystem. This conjecture connects Distributed Cognition with Predictive Processing because it shows how cultural practices facilitate prediction. The present contribution introduces the following challenge to the union of Distributed Cognition and Predictive Processing: the problem of entropic cultural practices. The problem lies in the existence of multiple cultural practices that tend to increase entropy instead of reducing it. This paper discusses these entropic cultural practices and the nature of the problem at hand. Finally, the paper advances an expanded conception of cultural practices that could unite the two frameworks and explores the difficulties of committing to such a conception.