I investigate the underlying cognitive mechanisms and socio-emotional factors behind conspiracy theory (CT) beliefs through the lens of the Free-Energy Principle (FEP). The FEP framework is employed to explain the emergence of CTs in the face of cumulative uncertainties and the influence of emotions on belief formation. The FEP account I propose concludes that considering emotional factors, distrust of established authorities, and the social environment, believing in CTs is a bounded rational choice for some individuals in certain contexts. This explains (...) why CT believers are resistant to changing their views. Applying FEP to the complex human behavior of CT belief and propagation, this paper not only provides insights into the phenomenon but also enhances the theoretical credence of FEP itself. (shrink)

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 predictive processes in the mind, and these are explained in virtue of a common prediction error-minimisation (PEM) schema. In this paper, I argue against the claim that PP currently converges towards a unified explanation of cognitive processes. Although the notion of PEM systematically relates a set of posits such as ‘efficiency’ and ‘hierarchical coding’ into a (...) unified conceptual schema, neither the frameworks’ algorithmic specifications nor its hypotheses about their implementations in the brain are clearly unified. I propose a novel way to understand the fruitfulness of the research program in light of a set of research heuristics that are partly shared with those common to Bayesian reverse engineering. An interesting consequence of this proposal is that pluralism is at least as important as unification to promote the positive development of the predictive mind. (shrink)

Letheby’s "Philosophy of Psychedelics" relies on Predictive Processing to try and find unifying explanations relevant to understanding how serotonergic psychedelics work in psychiatric therapy, what subjective experiences are associated with their use and whether such experiences are epistemically defective. But if Predictive Processing lacks genuinely explanatory unifying power, Letheby’s account of psychedelic therapy risks being unwarranted. In this commentary, I motivate this worry and sketch an alternative interpretation of psychedelic therapy within the Reinforcement Learning framework.