Recurrent Processing Theory (RPT)

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

• RPT-1 (algorithmic recurrence) may be useful as a sensitive indicator whose absence is strong evidence that a system is not conscious.claim0.790
  Illustrates how even simple AI properties can be informative as sensitive negative-direction indicators
• Perceptual Reality Monitoring Theory (PRM)framework0.740
  A computational HOT claiming that consciousness depends on metacognitive monitoring distinguishing reliable perceptual representations from noise.
• Predictive Processing Theoryframework0.739
  Theory that perception and cognition involve predictive coding; listed with indicators in Butlin et al. 2023.
• RPT-2: Input modules generating organized, integrated perceptual representationsconcept0.739
  Indicator derived from recurrent processing theory; requires interpretability methods or behavioral tests like Kanizsa illusion
• Process Theoryconcept0.738
  Foundational framework consisting of systems (wires), processes (boxes), and composition (wirings); basis for quantum and compositional reasoning.
• R-Transformer: Recurrent Neural Network Enhanced Transformer (Wang et al., 2019)concept0.727
  Prior work on recurrently generated position encodings; cited as precedent for TEM-t's recurrent position encoding method.
• Does autoregressive use of transformer-based LLMs constitute algorithmic recurrence for RPT-1, or does it depend on where we draw the system boundary?question0.722
  Concrete interpretive challenge in applying RPT-1 indicator to current LLMs
• Transformers are recurrent through autoregression because K/V stream provides horizontal information flow across positions.claim0.721
  Claim formalizing the Anima Labs idea that transformers are effectively recurrent due to K/V stream.