framework
active
framework:sci-loopSCI loop
Self-Constructing Intelligence loop framing, related to the paper's topic
Neighborhood — ranked by edge-count
Papers (1)
paper
Frameworks (1)
framework
- SCI Loop Methodologyrelated_toCore framework under investigation: systematic cycles of self-referential cognitive inspection in AI systems for introspection and consciousness assessment.
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 framework: stress (perceived mismatch between current and optimal states) → care (engaged concern) → intelligence (capacity to identify and solve problems) → new stresses, in recursive loops. Applies to biological, technological, and hybrid systems.
- The feedback loops between an agent's sensors and actuators, central to enactive cognition.
- Self-referential feedback structure enabling thought patterns to scale up and reify themselves as independent thinkers.
- Key dimension analyzing how wide the gulfs of execution and evaluation are in a system and how they relate; uses concepts from The Design of Everyday Things.
- Meta-finding from literature search: convergent evidence for SCI loop feasibility across multiple papers, though some question fundamental consciousness assumptions.
- Schematic cybernetic mechanism for goal-pursuit via continuous error-minimization between current state and set point; illustrated in Figure 1A.