hypothesis
active
hypothesis:genuine-physical-causal-integration-required-for-level-3-intrinsic-causal-structure-consciousness-is-more-likely-achievable-in-neuromorphic-hardware-with-collocated-memory-processing-than-in-von-neumann-architecturesGenuine physical causal integration required for Level 3 (intrinsic causal-structure) consciousness is more likely achievable in neuromorphic hardware with collocated memory/processing than in von Neumann architectures
Architectural hypothesis about what would satisfy IIT-style theories in AI.
Source paper
extracted_from(2026) · Shamil Chandaria · Arvo Muñoz Morán · Fernando Rosas · Anil Seth +10
Neighborhood — ranked by edge-count
Papers (1)
paper
Frameworks (1)
framework
- Integrated Information Theoryassociated_withTononi et al. framework quantifying consciousness via integration; provides mathematical tools for measuring agent complexity.
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.
- Proposed necessary conditions for any substrate (biological or artificial) to support consciousness; integrates discrete-continuous, multiscale, and adaptive properties.
- Core claim enabling the indicator method's relevance to current AI systems
- Core theoretical claim connecting consciousness to biological learning
- Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.789Central methodological claim of the paper.
- General computational machines with sufficient resources possess the necessary and sufficient means to implement consciousnesshypothesis0.787CIMC's central testable hypothesis grounding the entire research program
- The central hypothesis of the paper