concept
active
concept:prior-target-mismatch-drPrior-Target Mismatch (dr)
Measures how far the target PT is from the prior P_prior; increases anchoring difficulty
Neighborhood — ranked by edge-count
Methods (3)
method
- Quantitative study varying representational familiarity via numeral bases B10/B8/B9 at fixed computational complexity
- LoRA+CoTassociated_withFine-tuning with chain-of-thought rationales aiming to reduce dr via procedural alignment.
- Qualitative experiment showing coherent anchors can rebind strong priors across text and vision modalities
Concepts (1)
concept
- anchoring strength Sassociated_withComposite score S = ρd − dr − log k predicting anchoring success.
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.
- Distance between prior knowledge centroid and target pattern centroid, e.g., 1 - cos(eprior, eT).
- UCCT's theoretical prediction about how fine-tuning maps onto the anchoring score
- Distance between prior and target representations.
- ERP component reproduced by active inference: neural response to prediction violations.
- Cognitive bifurcation event where second-order contextual constraints reorganize semantic space, establishing weighted alternatives for action.
- Beliefs about states before data; used to transcribe task instructions into agent's generative model
- (i) do pattern density (ρd) and prior–target distance (dr) serve as predictive correlates of few-shot thresholds?question0.734First research question in Experiment 2
- Target distribution over states or outcomes encoded in the generative model; goal states.