Chronic Pain Perception Model

HMM parameterization with sticky transitions and ambiguous emissions representing maladaptive pain perception

Neighborhood — ranked by edge-count

method

Hidden Markov Model
implements
Core computational method used to infer pain-belief from online observations of happiness

concept

Eckert, Pabst, and Endres 2022
extends
Source of the HMM parameters for normal and chronic pain models used in this paper
Chronic Pain HMM Parameters
implements
Sticky transitions (pain→pain=0.8, nopain→nopain=0.7) and ambiguous emissions (both states 0.6 noxious) representing maladaptive perception
Relief-Seeking Behavior
cites
Pattern exhibited by chronic pain agent where food discovery provides only temporary relief from negative baseline

framework

Normal Pain Perception Model
related_to
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 of Painframework0.791
Conceptualization of pain perception as inference over hidden nociceptive causes, from Eckert et al. 2022
The chronic pain model outperforms the normal pain model in non-stationary environments despite producing negative well-beingclaim0.786
Surprising finding that maladaptive perception can yield superior task performance in changing environments
Normal Pain Model as Low-Pass Filterclaim0.752
Author's interpretation that the normal pain model smooths the happiness signal into a stable belief state providing exploration bonus
Perception-Action Model of Empathyframework0.742
Neuroscientific model suggesting empathy is mediated by partial convergence of self and other representations
Perceptron Modelframework0.738
Why does a maladaptive chronic pain perception outperform normal pain in non-stationary environments?question0.738
Empirical puzzle raised by the surprising chronic model results
Perceptual Field Modelframework0.737
Model introduced in Figure 2 explaining how collective intelligence expands the spatiotemporal perceptual field of a group beyond any individual member's capacity.
Perceptionconcept0.729
Equated with inference of past, present and future hidden states via minimization of variational free energy.