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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications

February 1, 2023

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Authors

Suguman Bansal

Rice University


Yong Li

Chinese Academy of Sciences


Lucas Tabajara

Rice University


Moshe Vardi

Rice University


DOI:

10.1609/aaai.v34i06.6528


Abstract:

LTLf synthesis is the automated construction of a reactive system from a high-level description, expressed in LTLf, of its finite-horizon behavior. So far, the conversion of LTLf formulas to deterministic finite-state automata (DFAs) has been identified as the primary bottleneck to the scalabity of synthesis. Recent investigations have also shown that the size of the DFA state space plays a critical role in synthesis as well.Therefore, effective resolution of the bottleneck for synthesis requires the conversion to be time and memory performant, and prevent state-space explosion. Current conversion approaches, however, which are based either on explicit-state representation or symbolic-state representation, fail to address these necessities adequately at scale: Explicit-state approaches generate minimal DFA but are slow due to expensive DFA minimization. Symbolic-state representations can be succinct, but due to the lack of DFA minimization they generate such large state spaces that even their symbolic representations cannot compensate for the blow-up.This work proposes a hybrid representation approach for the conversion. Our approach utilizes both explicit and symbolic representations of the state-space, and effectively leverages their complementary strengths. In doing so, we offer an LTLf to DFA conversion technique that addresses all three necessities, hence resolving the bottleneck. A comprehensive empirical evaluation on conversion and synthesis benchmarks supports the merits of our hybrid approach.

Topics: AAAI

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HOW TO CITE:

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications Proceedings of the AAAI Conference on Artificial Intelligence (2020) 9766-9774.

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications AAAI 2020, 9766-9774.

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi (2020). Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications. Proceedings of the AAAI Conference on Artificial Intelligence, 9766-9774.

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi. Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.9766-9774.

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi. 2020. Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications. "Proceedings of the AAAI Conference on Artificial Intelligence". 9766-9774.

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi. (2020) "Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications", Proceedings of the AAAI Conference on Artificial Intelligence, p.9766-9774

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi, "Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications", AAAI, p.9766-9774, 2020.

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi. "Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.9766-9774.

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi. "Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 9766-9774.

Suguman Bansal||Yong Li||Lucas Tabajara||Moshe Vardi. Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specifications. AAAI[Internet]. 2020[cited 2023]; 9766-9774.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
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101, Palo Alto, California 94303 All Rights Reserved

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