concept
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concept:science-of-consciousness-in-artificial-systemsScience of Consciousness in Artificial Systems
The emerging research domain the paper aims to contribute to: systematic study of consciousness-relevant dynamics in AI
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Papers (1)
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framework
- Marr's Three Levels of Analysisassociated_withFramework for analyzing cognitive systems at computational, algorithmic, and implementation levels; invoked to situate the paper's contributions
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.
- Methodological question driving CIMC's development of interpretive validation over behavioral testing
- Extension of the Universality Hypothesis to consciousness: if consciousness solves a well-defined computational problem, different systems will discover it independently
- Core concept: capacity to experience as a subject; argued to be substrate-independent and achievable across diverse biological systems.
- The state of having subjective experiences; there is something it is like to be the subject.
- Consciousness in AI is best assessed by drawing on neuroscientific theories of consciousness.claim0.810Central methodological claim of the paper.