Perceptual Confidence is the thesis that perceptual experiences can be probabilistic. This thesis has been defended and criticised based on a variety of phenomenological, epistemological, and explanatory arguments. One gap in these arguments is that they neglect the question of whether perceptual experiences satisfy the formal conditions that define the notion of probability to which Perceptual Confidence is committed. Here, we focus on this underexplored question and argue that perceptual experiences do not satisfy such conditions. But if they do not, (...) then ascriptions of perceptual confidence are undefined; and so, Perceptual Confidence cannot be true. (shrink)

Bayesianism can be characterized as the following twofold position: (i) rational credences obey the probability calculus; (ii) rational learning, i.e., the updating of credences, is regulated by some form of conditionalization. While the formal aspect of various forms of conditionalization has been explored in detail, the philosophical application to learning from experience is still deeply problematic. Some philosophers have proposed to revise the epistemology of perception; others have provided new formal accounts of conditionalization that are more in line with how (...) we learn from perceptual experience. The current investigation argues that Bayesian epistemology is still incomplete; the epistemology of perception and the epistemology of rational reasoning have not been reconciled. (shrink)

Perceptual Confidence is the view that our conscious perceptual experiences assign confidence. In previous papers, I motivated it using first-personal evidence (Morrison, 2016), and Jessie Munton motivated it using normative evidence (Munton, 2016). In this paper, I will consider the extent to which it is motivated by third-personal evidence. I will argue that the current evidence is supportive but not decisive. I will then describe experiments that might provide stronger evidence. I hope to thereby provide a roadmap for future research.

Philosophy and Phenomenological Research, Volume 104, Issue 2, Page 343-363, March 2022.

In this paper, I propose a Husserlian account of perceptual confidence, and argue for perceptual confidence by appeal to the self-justification of perceptual experiences. Perceptual confidence is the intriguing view, recently developed by John Morrison, that there are not just doxastic confidences but also perceptual confidences, i.e., confidences as aspect of perceptual experience, enabling us to account, e.g., for the increasing confidence with which we experience an approaching human figure, while telling ourselves, as the viewing distance diminishes, “It looks like (...) this just could be Isaac”, “It looks like this is probably Isaac”, “It looks like this is almost certainly Isaac”. I first present my Husserlian account with a focus on the notion of fulfillment, and the idea that the contents of perceptual experience are fulfillment conditions. I then show that this account can be complemented by PC. Finally, I develop a focus on the idea of perceptual self-justification, diverting the perceptual confidence debate from its pre-eminent concern with the relations between perceptual and doxastic confidences, and present an argument to the effect that there are perceptual confidences. (shrink)

Can perceptual experiences be states of uncertainty? We might expect them to be, if the perceptual processes from which they're generated, as well as the behaviors they help produce, take account of probabilistic information. Yet it has long been presumed that perceptual experiences purport to tell us about our environment, without hedging or qualifying. Against this long-standing view, I argue that perceptual experiences may well occasionally be states of uncertainty, but that they are never probabilistically structured. I criticize a powerful (...) line of reasoning that we should expect perceptual experience to be probabilistic, given their interfaces with unconscious probabilistic information, with behavior responsive to it, and with credences. (shrink)

According to the recent Perceptual Confidence view, perceptual experiences possess not only a representational content, but also a degree of confidence in that content. The motivations for this view are partly phenomenological and partly epistemic. We discuss both the phenomenological and epistemic motivations for the view, and the resulting account of the interface between perceptual experiences and degrees of belief. We conclude that, in their present state of development, orthodox accounts of perceptual experience are still to be favoured over the (...) perceptual confidence view. (shrink)

Perceptual experience supports the assignment of confidences in belief – doxastic confidences. To explain this fact, many philosophers appeal to Perceptual Indeterminacy, which holds that perceptual content can be more or less determinate. Others instead appeal to Perceptual Confidence, which says that perceptual experience supports doxastic confidences because it assigns confidences too. Morrison argues that a primary reason to favour Perceptual Confidence is that it is uniquely capable of accounting for bell-shaped doxastic confidence distributions; we call this the bell curve (...) objection to Perceptual Indeterminacy. Here we show that two recent defences of Perceptual Indeterminacy, due to Nanay and Raleigh and Vindrola, fail to adequately address the bell curve objection. But we also argue that all is not lost for proponents of Perceptual Indeterminacy. They can counter the bell curve objection by embracing a third view, which we call Perceptual Noise. (shrink)

It is increasingly common in cognitive science and philosophy of perception to regard perceptual processing as a probabilistic engine, taking into account uncertainty in computing representations of the distal environment. Models of this kind often postulate probabilistic representations, or what we will call probabilistic states,. These are states that in some sense mark or represent information about the probabilities of distal conditions. It has also been argued that perceptual experience itself in some sense represents uncertainty (Morrison _Analytic Philosophy_ 57 (1): (...) 15 48, 2016 ). In this article, we will first consider three models of sensory activity from perceptual neuroscience, namely signal detection theory (SDT), probabilistic population codes (PPC), and sampling. We will then reflect on the sense in which the probabilistic states introduced in these models are probabilistic representations. To sharpen this discussion, we will compare and contrast these probabilistic states to credences as they are understood in epistemology. We will suggest that probabilistic representation, in an appropriately robust sense, can be understood as a form of analog representation. In the last part of the paper, we apply this to the issue of whether conscious experience represents uncertainty—we will interpret this as the claim that there are phenomenal features of experience that serve as analog probabilistic representations. (shrink)

Nick Shea’s Representation in Cognitive Science commits him to representations in perceptual processing that are about probabilities. This commentary concerns how to adjudicate between this view and an alternative that locates the probabilities rather in the representational states’ associated “attitudes”. As background and motivation, evidence for probabilistic representations in perceptual processing is adduced, and it is shown how, on either conception, one can address a specific challenge Ned Block has raised to this evidence.