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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 9: AAAI-22 Technical Tracks 9

Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae

February 1, 2023

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Authors

Weilin Luo

School of Computer Science and Engineering, Sun Yat-sen University


Pingjia Liang

School of Computer Science and Engineering, Sun Yat-sen University


Jianfeng Du

Guangzhou Key Laboratory of Multilingual Intelligent Processing, Guangdong University of Foreign Studies Pazhou Lab


Hai Wan

School of Computer Science and Engineering, Sun Yat-sen University Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University)


Bo Peng

School of Computer Science and Engineering, Sun Yat-sen University


Delong Zhang

School of Computer Science and Engineering, Sun Yat-sen University


DOI:

10.1609/aaai.v36i9.21221


Abstract:

Learning linear temporal logic on finite traces (LTLf) formulae aims to learn a target formula that characterizes the high-level behavior of a system from observation traces in planning. Existing approaches to learning LTLf formulae, however, can hardly learn accurate LTLf formulae from noisy data. It is challenging to design an efficient search mechanism in the large search space in form of arbitrary LTLf formulae while alleviating the wrong search bias resulting from noisy data. In this paper, we tackle this problem by bridging LTLf inference to GNN inference. Our key theoretical contribution is showing that GNN inference can simulate LTLf inference to distinguish traces. Based on our theoretical result, we design a GNN-based approach, GLTLf, which combines GNN inference and parameter interpretation to seek the target formula in the large search space. Thanks to the non-deterministic learning process of GNNs, GLTLf is able to cope with noise. We evaluate GLTLf on various datasets with noise. Our experimental results confirm the effectiveness of GNN inference in learning LTLf formulae and show that GLTLf is superior to the state-of-the-art approaches.

Topics: AAAI

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HOW TO CITE:

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae Proceedings of the AAAI Conference on Artificial Intelligence (2022) 9849-9857.

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae AAAI 2022, 9849-9857.

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang (2022). Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae. Proceedings of the AAAI Conference on Artificial Intelligence, 9849-9857.

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang. Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.9849-9857.

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang. 2022. Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae. "Proceedings of the AAAI Conference on Artificial Intelligence". 9849-9857.

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang. (2022) "Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae", Proceedings of the AAAI Conference on Artificial Intelligence, p.9849-9857

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang, "Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae", AAAI, p.9849-9857, 2022.

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang. "Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.9849-9857.

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang. "Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 9849-9857.

Weilin Luo||Pingjia Liang||Jianfeng Du||Hai Wan||Bo Peng||Delong Zhang. Bridging LTLf Inference to GNN Inference for Learning LTLf Formulae. AAAI[Internet]. 2022[cited 2023]; 9849-9857.


ISSN: 2374-3468


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