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question:can-digital-systems-approximate-biological-computation-closely-enough-that-functional-equivalence-implies-experiential-equivalenceCan digital systems approximate biological computation closely enough that functional equivalence implies experiential equivalence?
Open tension: if artificial fluidic memristors succeed, is the relevant property substrate-independence or substrate-type (biological vs. silicon)?
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Claims (1)
claim
- Core assertion distinguishing biological computationalism from functionalism; rejects simulation-instantiation equivalence.
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.
- The paper's core methodological bet: use computational functionalism as a working assumption even while remaining agnostic about its truth
- Conditional underlying the consciousness route.
- Extension of the Universality Hypothesis to consciousness: if consciousness solves a well-defined computational problem, different systems will discover it independently
- If computational functionalism is false, consciousness may be impossible in non-organic artificial systems.hypothesis0.767Contrapositive possibility acknowledged.
- Core claim enabling the indicator method's relevance to current AI systems
- Strong claim that hybridization is unlimited in principle, making the life/machine binary conceptually untenable
- will different systems facing similar computational problems converge to similar solutions, including consciousness?question0.752Key question for the Machine Consciousness Hypothesis and the universality hypothesis extension