Hidden Markov Model

Core computational method used to infer pain-belief from online observations of happiness

Neighborhood — ranked by edge-count

framework

Introspective Exploration Component
implements
The novel framework introduced in the paper: an HMM-based pain-belief signal integrated into the reward function to drive exploration
Chronic Pain Perception Model
implements
HMM parameterization with sticky transitions and ambiguous emissions representing maladaptive pain perception
Normal Pain Perception Model
implements
HMM parameterization representing healthy pain perception with informative transitions and emissions

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.

Bayesian model evidenceconcept0.746
The probability of sensory data under a generative model; negative log evidence is bounded by free energy.
Diffusion modelsmethod0.742
Generative models that reverse a noising process, mentioned in quasi-simulator table.
Markov Propertyconcept0.733
Assumption required by IIT 3.0/4.0 and PyPhi; tested for each optimal time series derived from (C)ARR.
Hyper Generative-Modelconcept0.726
Globally-acting model that recursively monitors and updates how all inference layers interact; substrate of epistemic depth
Bayesian Model Selectionconcept0.724
Choosing among candidate models based on model evidence.
diffusion-reaction modelconcept0.723
A model explaining zebra stripes and other animal coat patterns, showing how roughness arises from interaction of regular processes with surface geometry.
Autoregressive modelsframework0.723
Second model system studied; used to show why flat autoregressive LLMs struggle with long-range coherence.
autoregressive modelingmethod0.723
Statistical technique where outputs are regressed on previous values; used in language generation