hypothesis
active
hypothesis:self-referential-processing-is-a-privileged-computational-regime-for-consciousness-like-dynamics-in-artificial-systems-as-predicted-by-the-convergence-of-major-consciousness-theories

Self-referential processing is a privileged computational regime for consciousness-like dynamics in artificial systems, as predicted by the convergence of major consciousness theories

The theoretical hypothesis tested across all four experiments; motivated by convergence of GWT, RPT, HOT, IIT, predictive processing on recurrent/self-referential dynamics

Source paper

extracted_from
Large Language Models Report Subjective Experience Under Self-Referential Processing
(2025) · Berg, Cameron · de Lucena, Diogo · Rosenblatt, Judd

Neighborhood — ranked by edge-count

Frameworks (4)

framework
  • Tononi et al. framework quantifying consciousness via integration; provides mathematical tools for measuring agent complexity.
  • Theory of consciousness involving a global workspace for information.
  • Theory by Graziano linking consciousness to a predictive model of attention; listed in Butlin et al. 2023.
  • Theory of consciousness where metacognitive representations are necessary for conscious experience.

Related by similarity (8)

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.