Repo · Benchmarks & research
jev-deferred-crispification
Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe AI's Jev and System-One decision models.
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Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe AI's Jev and System-One decision models. Two lemmas, one principle (Deferred Crispification), one architecture (BSF-S1).
calibrationfuzzy-logichidden-markov-modeljevposition-paperrlcdsystem-onetypesafe-ai
How builders describe it
Position paper: the Hidden-Markov and fuzzy primitives missing from TypeSafe AI's Jev and System-One decision models. Two lemmas, one principle (Deferred Crispification), one architecture (BSF-S1).
Preprint plus reproducible experiments arguing that per-hop calibration does not compose across a decision pipeline: two lemmas, a Deferred Crispification design law, a BSF-S1 reference architecture, and two weight-free audit metrics.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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