finding
active
finding:race-to-bound-dynamicsRace-to-Bound Dynamics
Decision-making neural dynamics reproduced by active inference; threshold crossing.
Source paper
extracted_from(2017) · Karl Friston · Thomas FitzGerald · Francesco Rigoli · Philipp Schwartenbeck +1
Neighborhood — ranked by edge-count
Methods (1)
method
- Process by which neuronal dynamics minimize free energy; produces empirically observable neural phenomena.
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.
- Specific instantiation of delegation using τ (type/class pointer) and σ (superclass pointer) as well-known keys, implementing Smalltalk-like inheritance.
- The change in genotype/phenotype frequencies over generations under selection, mutation, and development.
- Claim about broad impact of studying these dynamics
- The evolution of an agent's latent representations over the course of training, shown to align with reward improvement when causal emergence is high.
- Proposed theoretical framework combining qualitative and quantitative aspects of information, with explicit treatment of processes and information flow; central organizing concept for the paper.
- Key insight about predictive learning's potential.