claim
active
claim:searle-s-simulation-argument-does-not-settle-whether-ai-can-be-conscious-it-merely-assumes-an-answer-to-which-level-consciousness-supervenes-onSearle's simulation argument does not settle whether AI can be conscious; it merely assumes an answer to which level consciousness supervenes on
Reinterpretation of the Chinese Room/simulation argument via the coarse-graining framework.
Source paper
extracted_from(2026) · Shamil Chandaria · Arvo Muñoz Morán · Fernando Rosas · Anil Seth +10
Neighborhood — ranked by edge-count
Papers (1)
paper
Concepts (1)
concept
- The coarsest level that still retains the structure relevant to consciousness, per a given theory.
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.804Central methodological claim of the paper.
- Core interpretive thesis of the report, restated across multiple sections.
- Key takeaway from abstract, amended version.
- Argues against the liberal neutrality solution, motivating the deliberative approach.
- Justifies the multi-theory indicator approach rather than committing to a single theory
- Motivates urgency of the assessment method
- Conditional underlying the consciousness route.
- Paper identifies as a key uncertainty limiting the Extended Machine Consciousness Hypothesis