Technical Foundations
Digital Circuitality on an information-theoretic footing.
The model behind bounded computation, closure, and compositional control.
Entropy
Bounded states reduce informational uncertainty.
Closure
Φc marks the closure condition the compiler checks.
Composition
EVA makes sequence, parallel, and conditional flow explicit.
Formal Definition
Entropy is uncertainty. Bounded computation reduces it by constraining modeled states.
Digital Circuitality reduces uncertainty by structure, not sampling.
Formal statements, analogy, and boundary language stay separate so the page does not imply guarantees outside the declared circuit. Uncertainty remains > 0 outside the modeled scope.
Closed modeled circuits reduce informational uncertainty
“Φc marks the closure condition checked before emission.”
Conventional Model
Testing reduces uncertainty
Conventional workflows sample behavior. Unchecked paths stay open.
Digital Circuitality
Uncertainty removal by structure
Bounded domains plus closed composition make the declared model reviewable; they do not close behavior outside the modeled boundary.
EVA composition operators
SEQ, PAR, and COND keep flow explicit before closure checks.
SEQ Sequential
One stage feeds the next stage.
PAR Parallel
Branches evaluate on the same input.
COND Conditional
Branch structure stays explicit before selection.
The Engineering Philosophy
Digital Circuitality.
The theory behind BRIK64: software logic treated as bounded, composable circuits.