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SemML 2.0 tool synthesizes reactive systems from LTL specifications faster

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Researchers have developed SemML 2.0, a new tool for synthesizing reactive systems from linear temporal logic (LTL) specifications. This system outperforms existing state-of-the-art tools like Strix and LtlSynt in the SYNTCOMP synthesis competition. SemML 2.0 integrates classical automata-theoretic approaches with machine learning guidance and partial exploration for efficient solution finding. AI

IMPACT Improves efficiency and scope for synthesizing safety-critical systems from formal specifications.

RANK_REASON Academic paper detailing a new tool for system synthesis.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

SemML 2.0 tool synthesizes reactive systems from LTL specifications faster

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Academic paper detailing a new tool for system synthesis.
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Jan K\v{r}et\'insk\'y, Tobias Meggendorfer, Maximilian Prokop ·

    SemML 2.0: Synthesizing Controllers for LTL

    arXiv:2604.24102v1 Announce Type: new Abstract: Synthesizing a reactive system from specifications given in linear temporal logic (LTL) is a classical problem, finding its applications in safety-critical systems design. These systems are typically represented using either Mealy m…

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