Symbolic Synthesis for LTLf+ Obligations
Giuseppe De Giacomo, Christian Hagemeier, Daniel Hausmann, Nir Piterman
TLDR
This paper presents a highly efficient symbolic synthesis method for LTLfp obligation properties, extending LTLf to infinite traces with DWA.
Key contributions
- Proposes symbolic synthesis for LTLfp obligation properties, extending LTLf to infinite traces.
- Translates LTLfp obligations into symbolic Deterministic Weak Automata (DWA) from LTLf DFAs.
- Shows DWA retain desirable features like Boolean closure and polynomial-time minimization.
- Achieves highly efficient, linear-time synthesis for LTLfp obligations, matching LTLf effectiveness.
Why it matters
This paper significantly advances temporal logic synthesis by extending LTLf to handle infinite traces with LTLfp obligation properties. It offers a theoretically efficient and practically effective method using Deterministic Weak Automata, making complex system verification more tractable.
Original Abstract
We study synthesis for obligation properties expressed in LTLfp, the extension of LTLf to infinite traces. Obligation properties are positive Boolean combinations of safety and guarantee (co-safety) properties and form the second level of the temporal hierarchy of Manna and Pnueli. Although obligation properties are expressed over infinite traces, they retain most of the simplicity of LTLf. In particular, we show that they admit a translation into symbolically represented deterministic weak automata (DWA) obtained directly from the symbolic deterministic finite automata (DFA) for the underlying LTLf properties on trace prefixes. DWA inherit many of the attractive algorithmic features of DFA, including Boolean closure and polynomial-time minimization. Moreover, we show that synthesis for LTLfp obligation properties is theoretically highly efficient - solvable in linear time once the DWA is constructed. We investigate several symbolic algorithms for solving DWA games that arise in the synthesis of obligation properties and evaluate their effectiveness experimentally. Overall, the results indicate that synthesis for LTLfp obligation properties can be performed with virtually the same effectiveness as LTLf synthesis.
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.