Conscious transfer substrate map v1

Minimal Empirical Mind Substrate v1 × RTT conditions

I’ll treat RTT as three hard constraints on anything that can participate in Conscious Transfer:

  • R — Repeatable:
    Same input → same measurable pattern, across time and instances.
  • T — Traceable:
    Clear mapping from representation ↔ behavior/physiology (no black‑box folk labels).
  • T — Transfer‑addressable:
    Structure can, in principle, be instantiated elsewhere (formalizable, encodable, composable).

Below is the overlay of RTT onto the Minimal Substrate layers.


1. Behavioral layer × RTT#

Kept as CT‑core (R+T+T):

  • Conditioning & learning laws
    RTT status:

    • R: Highly repeatable across individuals/species
    • T: Direct mapping from contingencies ↔ behavior
    • T: Encodable as transition/weight updates (transfer‑addressable)
  • Performance metrics (RT, accuracy, error patterns)
    RTT status:

    • R: Stable distributions under fixed tasks
    • T: Directly tied to task structure
    • T: Encodable as parameterized functions / constraints

Marked as CT‑support (not core, but useful context):

  • Rich, ecological behaviors that are measurable but task‑specific and messy.

2. Cognitive layer × RTT#

Kept as CT‑core (R+T+T):

  • Information‑processing models (attention, memory, decision)
    RTT status:

    • R: Canonical paradigms replicate (e.g., working‑memory limits, SDT patterns)
    • T: Clear mapping from model parameters ↔ behavior
    • T: Directly formalizable (state machines, DDM, Bayesian models)
  • Computational/quantitative models
    (drift‑diffusion, signal detection, basic RL)
    RTT status:

    • R: Robust fits across tasks
    • T: Transparent parameter–behavior link
    • T: Natively encodable as algorithms

CT‑support only:

  • Higher‑level “concepts” (belief, desire, self) only when reduced to task‑bound representational roles.

3. Measurement layer × RTT#

Kept as CT‑infrastructure (not “mind,” but required scaffolding):

  • Psychometric theory (reliability, validity, factor/IRT models)

    • R: Directly about repeatability
    • T: Transparent mapping from latent structure ↔ item patterns
    • T: Encodable as measurement operators on states
  • Standardized neuropsych tests

    • R: Normed, repeatable patterns
    • T: Clear mapping from task demands ↔ performance profile
    • T: Transfer‑addressable as interfaces to a substrate, not the substrate itself
  • Population stats (non‑reified)

    • R: Descriptive regularities
    • T: Traceable to measurement procedures
    • T: Useful for constraints, not for individual CT mapping

4. Biological layer × RTT#

Kept as CT‑anchoring constraints (where we know enough):

  • Circuit‑level and lesion‑level mappings

    • R: Stable associations (e.g., specific deficits with specific lesions)
    • T: Traceable mapping from structural change ↔ functional profile
    • T: Transfer‑addressable as constraints on any artificial implementation (must reproduce functional profile, not tissue)
  • Neurophysiological signatures (EEG/MEG/evoked potentials)

    • R: Robust task‑locked patterns
    • T: Clear time‑locked mapping to behavior/cognition
    • T: Encodable as temporal constraints on processing dynamics
  • Pharmacological mechanisms (where effect profiles are stable)

    • R: Reproducible dose–response patterns
    • T: Traceable receptor/functional mapping
    • T: Transfer‑addressable as “state‑modulation operators” on a substrate

CT‑support only:

  • Fine‑grained biochemistry that doesn’t yet map cleanly to function (fails Traceable).

5. Conscious transfer substrate map v1 — compressed spine#

This is the RTT‑filtered subset of the Minimal Substrate:

Conscious Transfer Substrate Map v1 (RTT-filtered)
 
Core representational layer:
  - Task-bound information-processing models
  - Learning/conditioning laws
  - Quantitative decision and control models
  - Computational/algorithmic formulations (DDM, RL, SDT, etc.)
 
Interface & measurement layer:
  - Psychometric and neuropsychological task definitions
  - Performance metrics (RT, accuracy, error structure)
  - Population/statistical constraints (non-reified)
 
Anchoring constraints:
  - Circuit/lesion-to-function mappings
  - Task-locked neurophysiological signatures
  - Stable pharmacological modulation profiles
 
Prohibited in CT substrate:
  - Any construct failing R, T, or T (repeatability, traceability, transfer-addressability)
  - All legacy diagnostic entities and narrative frameworks (see Quarantine doc)