arXiv · 2601.10651
Multi-Property Synthesis
Abstract
We study LTLf synthesis with multiple properties, where satisfying all properties may be impossible. Instead of enumerating subsets of properties, we compute in one fixed-point computation the relation between product-game states and the goal sets that are realizable from them, and we synthesize strategies achieving maximal realizable sets. We develop a fully symbolic algorithm that introduces Boolean goal variables and exploits monotonicity to represent exponentially many goal combinations compactly. Our approach substantially outperforms enumeration-based baselines, with speedups of up to two orders of magnitude.
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Christoph Weinhuber, Yannik Schnitzer, Alessandro Abate, David Parker, Giuseppe De Giacomo, Moshe Y. Vardi. 2026-01-15. Multi-Property Synthesis. https://arxiv.org/abs/2601.10651
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