framework
active
framework:computationalist-functionalismComputationalist Functionalism
Combined epistemological stance that everything knowable about systems including consciousness is a function of observable behaviors of finite state machines
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Frameworks (4)
framework
- Computationalismextendsrelated_toPosition that all phenomena can be fully captured as discrete and finite state transitions; grounded in mathematical constructivism
- Computational Functionalismrelated_toHypothesis that some class of computations suffices for consciousness; central assumption for AI consciousness route.
- Machine Consciousness HypothesisimplementsCIMC's central hypothesis: general computational machines with sufficient resources possess the necessary and sufficient means to implement consciousness, verifiable through internal structure analysis
- FunctionalismextendsEpistemological position that what any phenomenon is is its causal/operational role; rejects hidden essence; foundational to CIMC's stance
Hypotheses (1)
hypothesis
- The central hypothesis of the paper
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.
- Core theoretical framework: consciousness requires hybrid (discrete + continuous), scale-inseparable, metabolically embedded computation distinct from von Neumann architecture.
- Assumption that implementing the right computations is necessary and sufficient for consciousness.
- Conditional underlying the consciousness route.
- Defense against biological substrate objections.
- If computational functionalism is false, consciousness may be impossible in non-organic artificial systems.hypothesis0.739Contrapositive possibility acknowledged.
- One of the three major competing approaches to parallel programming mentioned in the paper; used for comparison with Linda.
- Searle and Seth's position that consciousness requires specific biological/autopoietic processes; explicitly rejected by CIMC on functionalist grounds
- Application of active inference to fMRI data; cited as prior use of the framework