concept
active
concept:indicator-properties-of-consciousnessIndicator Properties of Consciousness
Functional properties (recurrent processing, global broadcasting, higher-order metacognition) derived from consciousness theories and reformulable as testable criteria in AI systems
Neighborhood — ranked by edge-count
Frameworks (1)
framework
- Global workspace theoryextendsTheory of consciousness involving a global workspace for information.
Concepts (2)
concept
- Indicators of Consciousnessrelated_toProperties that increase or decrease credence that an AI system is conscious; central concept of the paper's method
- Self-Referential ProcessingimplementsThe central experimental manipulation: directing a model to attend to its own cognitive activity
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.
- Minimal set of neural mechanisms jointly sufficient for the occurrence of a conscious experience; dominant neuroscience approach critiqued as insufficient for causal theory
- Tests like Turing test, Artificial Consciousness Test; argued to be unreliable for AI due to mimicry.
- 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.
- Percepts, feelings, thoughts, imaginations, and intuitions — the elements that can appear in conscious awareness