Integrated World Modeling Theory (IWMT)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• World models provide a bridge between diverse substrates of intelligence—biological, artificial, and hybrid.claim0.755
  Synthetic claim integrating Ha's work with Levin's xenobiology and Tenenbaum's cognitive modeling.
• World Modelsconcept0.733
  Theme issue context: relates to internal models of environment, central to consciousness and cognition across substrates.
• World Model (statistical)concept0.731
  The joint distribution over events in the world that generate observed data; the proposed endpoint of representational convergence
• Integrated Information Theoryframework0.717
  Tononi et al. framework quantifying consciousness via integration; provides mathematical tools for measuring agent complexity.
• The model constitutes a computational implementation of the inductive theory of mirror self-recognition, implementing kinesthetic-visual matching and implicit mirror correspondence learningclaim0.711
  Claims the model satisfies the core requirements of Mitchell's inductive theory
• World models in natural and artificial intelligence (theme issue)concept0.711
  2026 theme issue; this paper is the flagship integrative contribution.
• IIT, GWT, AST, and HOT theories each track real computational requirements that complex evaluative systems impose, which is why they converge on overlapping predictionsclaim0.707
  Unifying interpretation of leading consciousness theories under the evaluative identity framework
• Information theory (predictive, synergistic, integrated)framework0.702
  Formal mathematical framework (Bialek, Tononi, etc.) proposed to characterize autonomous agents and synergies between them.