Bootstrap Problem

The problem of how an unorganized substrate can build coherent models of reality using only its own activity; consciousness is proposed as the solution

Neighborhood — ranked by edge-count

Hypotheses (1)

hypothesis

Consciousness is the simplest learning algorithm discoverable by evolutionary search to train a self-organizing biological substrate to become intelligent in service of agency
supports
CIMC's specific account of what consciousness is and why it evolved

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Bootstrap Applicationsframework0.863
Special class of standard applications automatically loaded during backplane initialization to provide fundamental services.
Bootstrap Applicationconcept0.839
Bootstrap Relationconcept0.803
The mutual support among centers where each raises the others to life, with no primary elements.
Bootstrapping Confidence Interval Analysismethod0.777
1000-iteration bootstrap procedure sampling 50% of conTest to compute 95% confidence intervals
bootstrap confidence intervalmethod0.773
Used to report uncertainty for geometry summaries and effect sizes.
Bootstrapping of centersframework0.756
The recursive process by which centers generate life through mutual intensification, where each center's life depends on the life of others.
problem space navigationconcept0.751
The process of moving through configuration space towards a goal; self-organisation as navigation
Halting Problemconcept0.742
Undecidability of whether an arbitrary program halts, discussed as a self-referential limit of computation.