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Determinism Series: Siliconizing Decision-Making (Index)
NewsMachine Learning

Determinism Series: Siliconizing Decision-Making (Index)

via Dev.tokanaria0074h ago

The goal of this series is simple: If a decision can be turned into rules, we should “siliconize” it. That is: move decisions from “interpretation-driven” to deterministic, replayable judgments . “Determinism” here is not about “the correct time” or “powerful magic.” What we really want is: Ordering : don’t break which came first Replay : later, with the same input + grounds + procedure, return to the same conclusion Shared principles across the series 0) Label the target first (RML: which world is this decision in?) Whether a decision can be “siliconized” is often determined before implementation—by the world (responsibility scope) the decision belongs to. This series assumes a “world label” up front: RML-1 (Closed World): not outside yet / safe to fail (simulation, dry-run) RML-2 (Dialog World): counterparties exist / recover via dialog + compensation (sagas, retries, reconcile) RML-3 (History World): irreversible history / correct-forward with refunds, explanations, audits (ledger)

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