The goal of this short chapter, aimed at philosophers, is to provide an overview and brief
explanation of some central concepts involved in predictive processing (PP). Even those …

This paper examines the applicability of predictive coding as an explanatory model for
perception. This is carried out from two perspectives. First, the central assumptions of the …

Do social norms really matter, or are they just behavioral idiosyncrasies that become
associated with a group? Social norms are generally considered as a collection of formal or …

The purpose of this paper is to provide a systematic review of the Predictive Processing
framework (hereinafter PP) and to identify its basic theoretical difficulties. For this reason, it …

The complexity of natural environments requires highly flexible mechanisms for adaptive
processing of single and multiple stimuli. Neuronal oscillations could be an ideal candidate …

The issue of the relationship between predictive processing (PP) and the free energy
principle (FEP) remains a subject of debate and controversy within the research community …

The aim of this paper is to present the ontic approach to the normativity of cognitive functions
and mechanisms, which is directly related to the understanding of biological normativity in …

Proponents of the predictive processing (PP) framework often claim that one of the
framework's significant virtues is its unificatory power. What is supposedly unified are …

Social norms are often regarded as informal rules or strategies. Previously, we have
proposed that norms are better understood as information. Social norms represent a …

In the cognitive and neural sciences, Bayesianism refers to a collection of concepts and
methods stemming from various implementations of Bayes' theorem, which is a formal way …