Density Model of Self-Experience

The self-prior functions as a density model over the agent's familiar multisensory states in latent space

Neighborhood — ranked by edge-count

framework

Self-Prior
implements
The key novel contribution: an internal model that learns the density of familiar multisensory experiences and drives mark-removal behavior through mismatch with the free energy principle

finding

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.

Self-Model Theory of Subjectivityframework0.767
Provides the transparency/opacity distinction used to characterise the separation prior sigma
Self-modelingconcept0.746
Ability of a model to predict its own outputs or behavior, sometimes distinguished from introspection.
Density evaluation of the self-prior in latent space approximates density evaluation in observation space because the latent state is a sufficient statistic of the observationclaim0.738
Theoretical justification for implementing the self-prior in latent rather than observation space
Phenomenal Self-Modelconcept0.733
Metzinger's concept of the self as a sustained representation; distinguished from consciousness itself in CIMC's framework
Self Modelframework0.728
Diffusion modelsmethod0.724
Generative models that reverse a noising process, mentioned in quasi-simulator table.
Picture of the Self (as measurement criterion)concept0.722
The experimental criterion by which degree of life in a center is measured: which of two things more resembles the observer's own eternal self.
Diffusion-Aggregation Modelconcept0.721
Computational models of crystal growth that produce rough overall symmetry but fail to explain the detailed identical sub-symmetries on snowflake arms