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A Unifying Approach to Product Constructions for Quantitative Temporal Inference

Talkat OOPSLA 2025 · 2025-10-16..10-18· [machine-learning]
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Presents a categorical recipe that turns a system and a temporal specification into a product via coalgebraic modelling and a natural distributive law, then proves a three‑part sufficient condition (preservation of base assignments, joins of ω‑chains, and a commuting diagram tied to modalities) that guarantees solving reachability/expectation queries on the product equals the original temporal inference. Instantiates to Markov reward models, cost‑bounded reachability, weighted optimization, and demonstrates a new weighted‑program × weighted‑property prototype for scalability; no end‑to‑end implementation yet.

AI-written summary · about

  1. 0:00Unifying product constructions
  2. 2:11Temporal verification products
  3. 4:23Cogebra semantics
  4. 6:13Algebraic product definition
  5. 8:19Correctness criterion
  6. 9:44Related work
  7. 11:32Q&A
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