IIT Five Axioms (Existence, Composition, Information, Integration, Exclusion)

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

• The absolute or isolated value of any IIT estimate lacks intrinsic meaning; IIT estimates are only interpretable when compared across varying levels or contents of consciousness under consistent contextual conditions.claim0.732
  Methodological constraint adopted from IIT literature to justify the comparative experimental design.
• IIT, GWT, AST, and HOT theories each track real computational requirements that complex evaluative systems impose, which is why they converge on overlapping predictionsclaim0.712
  Unifying interpretation of leading consciousness theories under the evaluative identity framework
• IIT 3.0framework0.705
  Version 3.0 of IIT, used to compute Φmax and Conceptual Information (CI) from LLM representation networks.
• All eleven principles are, of course, embodiments of the fifteen transformations.claim0.703
  States that the teaching principles directly instantiate the underpinning theory.
• Interchange Intervention Training (IIT)method0.701
  Training technique that induces specific causal structures in neural networks by co-training with interchange interventions
• Eight Sentience Criteria (Crump et al.)framework0.700
  Quantitative, flexible framework for assessing sentience: nociception, sensory integration, analgesia, trade-offs, self-protection, learning, preference.
• Proving that a program meets accomplishment specifications must be based on assumptions about the world, the information it makes available to the program and the effects of the program's actions as well as on facts about the program itself.claim0.700
  Claim about the nature of accomplishment verification.
• IIT 4.0framework0.699
  Version 4.0 of IIT, used to compute Φ and Φ-structure from LLM representation networks; latest iteration at time of study.