Evidence Item - v0.6
Predictive processing models of cognition
E-PREDICTIVE-PROCESSING
Visual overview: Christian Brain Science Evidence Map visual overview
Classification
- Evidence ID
- E-PREDICTIVE-PROCESSING
- Corpus/version
- v0.6
- Stage
- stage2
- Category
- Consciousness & Mind
- Major category
- Science
- Sub-category
- Cognitive Neuroscience
- BF status
- ready
- Scoring label
- Scored row with active Bayes factors
Navigation
Primary Datum
Datum: predictive-processing models describe the brain as using hierarchical predictions to guide perception and action.
Scoring / Hypothesis Pressure
| Hypothesis | log10BF | Min | Max | Rationale |
|---|---|---|---|---|
H-NATURALISM | 0.07 | 0.02 | 0.12 | Predictive processing gives a mechanistic account of perception, action, learning, and cognition, modestly supporting Naturalism where functional cognition is expected to be explainable through embodied neural computation. This does not settle qualia, the hard problem, agency, or consciousness ontology. |
Dependency / Cap Metadata
- dependency_cluster_id
- consciousness_mind
- dependency_cluster_role
- sibling_support
- dependency_cluster
- consciousness_mind
- dependency_role
- sibling_support
- cap_profile
- moderate_semi_independent
- evidence_function
- context_child
- directness
- supporting
Counter-Pressure
- title
- Brain explanations are real; reduction is the extra claim.
- text
- Predictive processing models of cognition may give naturalism real local pressure by showing how much mind depends on brain. The Christian answer should welcome that. But dependence is not identity, and correlation is not a full account of first-person life, truth, moral responsibility, and love.
- path
- Let neuroscience explain the machinery. Then ask whether the machinery explains the person. A Christian can say humans are embodied souls or ensouled bodies without pretending thought floats free from the brain. The hard question is whether matter alone can carry meaning.
Apologetic Note
- label
- Apologetic leverage
- title
- People are harder to explain than brain scans are to describe.
- key point
- Predictive processing models of cognition matters because neuroscience can describe brain activity without fully explaining what it is like to be a person who knows truth, loves, chooses, feels guilt, prays, and asks what life means.
- conversation move
- Welcome the science. Then use a simple distinction: explaining the instrument is not the same as explaining the music. Brain processes matter, but the person doing the thinking is still the deeper mystery.
- caveat
- Do not deny the brain. Christianity says persons are embodied. The point is that persons look like more than chemistry talking to itself.
Caveats / Notes
- Cap notes
- This row belongs to the consciousness and mind family. Its force should remain inspectable while overlap with sibling mind/reason rows is governed in cap diagnostics.
- Cap profile note
- Semi-independent convergence rows are capped, but not treated as exact duplicates.
- Cluster note
- Consciousness/mind-model evidence: addresses functional cognition, perception, and action modeling, not qualia or full consciousness ontology. Do not score as anti-theism or anti-idealism.
- Scoring note
- DATA-approved Batch 2 naturalism value; modest fair-seat support for functional cognition/mechanistic mind models only.
Citations
- Clark, A. (2013). Whatever next? Predictive brains...
- Friston, K. (2010). The free-energy principle.
Recommended Citation
The Signal Evidence Dataset, "Predictive processing models of cognition," Evidence ID: E-PREDICTIVE-PROCESSING, Version 0.6. Accessed [access date]. https://logos-signal.org/evidence/E-PREDICTIVE-PROCESSING/
Machine-Readable Source
This page is generated from the public evidence mirror without recalculating or changing scores.