2.2. True network of tool-neurons (W, ρ, Cᵢ, Φᵢ) · C_i

Read the equation

The relation accumulates its integrand over the stated interval or closed loop. The result depends on the integrand, integration variable, limits and trajectory. In the archived notes, a loop integral represents the intended accumulation of state or error change; its consciousness interpretation remains a source proposal.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

1. Read C_i as the quantity being defined or updated by this relation.

2. Applies the stated minimum, maximum, or clamp. These bounds are part of the actual operation.

3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

Source recovery establishes that the expression appears in this record. Its mathematical validity, implementation behavior, and interpretation must be assessed separately. See the linked source and research notes for the checks available for this version.

Original context

2.2. True network of tool-neurons (W, ρ, Cᵢ, Φᵢ)

Before: each neuron i had:

C_i = r_{\min}^2 + r_{\min}(dK + dx + 2), \quad \Phi_i = \oint \Delta_i(t)\, dt

Now with W_{ij} and \rho:
•	W_{ij} tells you how neuron i influences neuron j.
•	\rho(x) chooses which neuron/tool handles a given problem x.

Effect on Rhiannon:
•	Becomes an actual tool-brain rather than a bag of isolated tools.

C_i = r_{\min}^2 + r_{\min}(dK + dx + 2), \quad \Phi_i = \oint \Delta_i(t)\, dt

Related builds