Can predictive processing explain phenomenal character, or only the cognitive and access aspects of conscious experience?

Predictive processing may explain phenomenal character only by denying it is something extra—or by adding new physics. The debate turns on introspection.

Direct answer

Predictive processing can be stretched to cover phenomenal character, but only by changing what 'phenomenal character' means. One route treats the felt quality of experience as a structural misrepresentation produced by predictive introspection—so there is no extra non-cognitive residue to explain [1]. Another route keeps qualia as real and tries to ground them in thermodynamic quantities like entropy gradients sustained by attention [3]. A third uses literature to argue that predictive processing can illuminate qualia and the sense of self without settling the metaphysics [2].

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Why predictive processing seems to leave the felt quality out

Predictive processing describes the brain as a prediction machine: it constantly generates models of the causes of sensory input and updates them by minimizing prediction error [5]. That story is naturally about access—what information is available to guide thought and action. The hard question is whether the same machinery can also produce the redness of red or the sting of pain, rather than merely representing that something is red or painful.

The framework has a Kantian shape: instead of the mind conforming to objects, objects are said to conform to our cognition [5]. That reversal makes experience model-dependent from the start. If experience is always mediated by inferential, model-dependent representations, then it involves structural misrepresentation—and that is exactly the wedge an illusionist needs [1].

The illusionist route: phenomenal character as a predictive misrepresentation

One systematic answer says predictive processing supports illusionism about phenomenal consciousness. The argument runs through three conditionals: perceptual experience is necessarily mediated by inferential, model-dependent representations and therefore involves structural misrepresentation; the predictive architecture extends recursively to introspective awareness; and phenomenal consciousness is generated by introspective awareness, so it inherits that inferential, model-dependent character [1]. On this view, the felt quality of experience is not an extra ingredient that predictive processing fails to explain—it is a product of the same predictive machinery turned inward.

This is a conditional argument, not a demonstration. It says that if predictive processing is the correct computational architecture of cognition, then illusionism is the most coherent interpretation of phenomenal consciousness [1]. The scope matters: the conclusion is about what follows from accepting predictive processing as the architecture, not independent evidence that qualia are illusory.

The thermodynamic route: keeping qualia and adding physics

A different strategy keeps qualia as real and tries to give them a mechanistic home. On this proposal, phenomenal consciousness emerges when a predictive, self-organizing system actively sustains steep, localized entropy gradients through dynamic attention operators while operating near criticality. Qualia are interpreted as the irreducible thermodynamic and informational cost of resisting entropy increase [3]. The framework is offered as substrate-agnostic—a bridge from computation to qualia without additional ontological primitives—and it outlines testable predictions for neural recordings, behavioral experiments, and AI systems [3].

This route does not deny that predictive processing is about prediction and error minimization; it adds thermodynamic and criticality claims on top. Whether that counts as explaining phenomenal character or as relabeling it is precisely the open question. The proposal is a mechanistic account with testable predictions, not yet a confirmed explanation [3].

What literature and introspection add to the picture

A third approach uses literary engagement as a designer environment for exploring consciousness. Predictive processing can model how readers engage with texts, and that engagement is used to shed light on qualia, counterfactual depth in conscious experience, and the sense of self [2]. The upshot is a picture where literature is not just a source of illustrative examples but a way to explore and rethink consciousness, with theoretical questions that could be addressed by drawing on literature as a source of hypotheses and stimuli for possible experimental designs [2].

This route is explicitly about phenomenal character—it discusses qualia—but it does not provide explicit evidence about cognitive or access aspects [2]. That makes it a useful complement rather than a rival: it shows how predictive processing might be brought to bear on felt experience without settling whether the felt quality is real or illusory.

A neuropsychoanalytic strand adds a further angle: consciousness is generated in the upper brainstem rather than the cortex, and psychological dynamics—including conscious versus unconscious processing—are treated as a result of self-organization aimed at maintaining homeostasis [4]. This addresses cognitive and homeostatic aspects of conscious processing, and it does not explicitly cover phenomenal character [4]. It is relevant because it locates the predictive machinery in a different place and for a different purpose, which could change what a predictive explanation of experience is supposed to deliver.

Sources used in this answer

1

Bridging predictive processing and illusionism

Argues that if predictive processing is the correct computational architecture of cognition, it supports an illusionist interpretation of phenomenal consciousness, because perceptual and introspective experience are model-dependent and structurally misrepresentational.

2

Designs on consciousness: literature and predictive processing

Uses literary engagement modeled in predictive processing terms to explore qualia, counterfactual depth in conscious experience, and the sense of self, proposing literature as a designer environment for consciousness research.

3

A Thermodynamic Framework for Phenomenal Consciousness: Entropy Gradients, Attention, and Criticality in Predictive Systems

Proposes a mechanistic thermodynamic framework in which phenomenal consciousness emerges from sustained localized entropy gradients maintained by attention operators near criticality, with qualia interpreted as the thermodynamic and informational cost of resisting entropy increase.

4

»Predictive processing« in der Neuropsychoanalyse

Summarizes a neuropsychoanalytic model in which consciousness is generated in the upper brainstem and psychological dynamics, including conscious versus unconscious processing, result from self-organization aimed at homeostasis.

5

Can the Kantian Brain Explain Consciousness?

Explores whether a Kantian predictive-processing brain can account for the phenomenal character of consciousness, or whether a shift is needed toward theories emphasizing spatiotemporal coupling between brain and world.