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Synthesizing Efficiently Monitorable Formulas in Metric Temporal Logic

Talkat VMCAI 2024 · 2024-01-15..01-16· [machine-learning]
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An algorithm synthesizes Metric Temporal Logic formulas that are provably bounded lookahead (future reach ≤ K) and globally separate given positive and negative piecewise‑constant signals, reducing synthesis to satisfiability in Linear Real Arithmetic and producing minimal formulas by iterating formula size. The construction encodes MTL semantics over dense time into SMT, yields a decision in NP for existence, and is implemented as TEAL with Z3, recovering many benchmark formulas quickly and timing out only for larger target formulas combined with large samples.

AI-written summary · about

  1. 0:00Runtime verification intro
  2. 3:14Writing MTL formulas challenges
  3. 8:54MTL formula synthesis problem
  4. 12:11Decision problem NP characterization
  5. 14:38SMT encoding for MTL semantics
  6. 17:53Implementation and evaluation
  7. 19:17Future work and conclusion
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