Theoretical analysis demonstrates that Bayesian probabilism can evaluate perceptual experience-forming processes in schizophrenia models, suggesting perceptual rationality carries practical costs.
According to the rationality of perception thesis, perceptual processes and experiences can be rationally appraised. This thesis raises the questions of whether there can be norms of rationality for perception, and what they could be. Here, to answer these questions, we consider Bayesian norms as possible candidates. Analysing two Bayesian models of perceptual anomalies in schizophrenia, we argue that experience‐forming processes can be rationally appraised according to probabilism. After suggesting that violations of probabilism in perception are accompanied by fragmented conscious experiences and can involve epistemic and practical costs, we clarify the implications of our contribution for the rationality of perception thesis and Bayesian approaches to perception.
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Chinaia et al. (2026) studied this question.
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