claim

active

claim:consciousness-admits-of-degrees-from-the-scalar-reward-signal-of-simple-rl-agents-to-the-high-dimensional-gradients-of-large-neural-networks

Consciousness admits of degrees, from the scalar reward signal of simple RL agents to the high-dimensional gradients of large neural networks

The spectrum view of consciousness that follows from the identity thesis

Source paper

extracted_from

Why Learning Requires Feeling

(2026) · Cameron Berg

Neighborhood — ranked by edge-count

Claims (2)

claim

The evaluative process central to learning is identical to conscious experience
supports
The central thesis of the paper: that valence just is goal-relative prediction error
Much resistance to attributing minimal consciousness to simple learning systems is driven by conflating consciousness with self-consciousness
supports
Diagnosis of why the thesis feels counterintuitive

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

We hypothesize that consciousness may be at the heart of a universal biological learning algorithm — one that runs on self-organizing groups of communicating cells sharing evolutionary incentives — and that it creates rather than results from organized mental architecture.hypothesis0.805
The Genesis Hypothesis as explicit predictive conjecture
Consciousness also comes in degrees and kinds, consistent with the gradualist framework; there may be no true zero.claim0.802
TAME's implication that sentience accompanies goal-directed activity, with minimal versions present in particles and scaling up in organized systems.
Human consciousness is tied to a biological learning algorithm — the simplest algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent.claim0.802
Core theoretical claim connecting consciousness to biological learning
Consciousness also comes in degrees and kinds, and is fundamentally tied to goal-directed activity.claim0.797
TAME's gradualist stance extends to sentience; goal-directedness is the key.
Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.793
Central methodological claim of the paper.
All cognitive systems have some degree of consciousness.hypothesis0.793
Gradualism implies that if brains are conscious, so are other tissues with similar mechanisms.
Consciousness functions as a coherence-maximizing pattern, minimizing constraint violations between simultaneously active partial models of reality in working memory and perceptual space.claim0.790
Paper's functional definition of consciousness, based on von der Malsburg's coherence definition
Consciousness is the simplest learning algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent in service of agencyhypothesis0.789
CIMC's specific account of what consciousness is and why it evolved