diff --git a/README.md b/README.md index bb28323..812e5b8 100644 --- a/README.md +++ b/README.md @@ -170,23 +170,27 @@ bridge.test(test_data) ## References -For more information about ABL, please refer to: [Zhou, 2019](https://link.springer.com/epdf/10.1007/s11432-018-9801-4?author_access_token=jgJe1Ox3Mk-K7ORSnX7jtfe4RwlQNchNByi7wbcMAY7_PxTx-xNLP7Lp0mIZ04ORp3VG4wioIBHSCIAO3B_TBJkj87YzapmdnYVSQvgBIO3aEpQWppxZG25KolINetygc2W_Cj2gtoBdiG_J1hU3pA==) and [Zhou and Huang, 2022](https://www.lamda.nju.edu.cn/publication/chap_ABL.pdf). +For more information about ABL, please refer to: [Zhou, 2019](http://scis.scichina.com/en/2019/076101.pdf) and [Zhou and Huang, 2022](https://www.lamda.nju.edu.cn/publication/chap_ABL.pdf). ```latex @article{zhou2019abductive, - title={Abductive learning: towards bridging machine learning and logical reasoning}, - author={Zhou, Zhi-Hua}, - journal={Science China Information Sciences}, - volume={62}, - pages={1--3}, - year={2019}, - publisher={Science China Press}} + title = {Abductive learning: towards bridging machine learning and logical reasoning}, + author = {Zhou, Zhi-Hua}, + journal = {Science China Information Sciences}, + volume = {62}, + number = {7}, + pages = {76101}, + year = {2019} +} @incollection{zhou2022abductive, - title={Abductive Learning}, - author={Zhou, Zhi-Hua and Huang, Yu-Xuan}, - booktitle={Neuro-Symbolic Artificial Intelligence: The State of the Art}, - pages={353--369}, - year={2022}, - publisher={IOS Press}} + title = {Abductive Learning}, + author = {Zhou, Zhi-Hua and Huang, Yu-Xuan}, + booktitle = {Neuro-Symbolic Artificial Intelligence: The State of the Art}, + editor = {Pascal Hitzler and Md. Kamruzzaman Sarker}, + publisher = {{IOS} Press}, + pages = {353--369}, + address = {Amsterdam}, + year = {2022} +} ``` \ No newline at end of file diff --git a/docs/Overview/Abductive-Learning.rst b/docs/Overview/Abductive-Learning.rst index 9fbe25f..9eb6ffe 100644 --- a/docs/Overview/Abductive-Learning.rst +++ b/docs/Overview/Abductive-Learning.rst @@ -57,7 +57,7 @@ is dual-driven by both data and domain knowledge, integrating and balancing the use of machine learning and logical reasoning in a unified model. -For more information about ABL, please refer to: `Zhou, 2019 `_ +For more information about ABL, please refer to: `Zhou, 2019 `_ and `Zhou and Huang, 2022 `_. .. _abd: diff --git a/docs/README.rst b/docs/README.rst index c83deae..2287024 100644 --- a/docs/README.rst +++ b/docs/README.rst @@ -56,5 +56,5 @@ For Windows and Mac users, please refer to the `Swi-Prolog Install Guide `_ +For more information about ABL, please refer to: `Zhou, 2019 `_ and `Zhou and Huang, 2022 `_. \ No newline at end of file diff --git a/docs/References.rst b/docs/References.rst index 85ad7e5..259b0a2 100644 --- a/docs/References.rst +++ b/docs/References.rst @@ -1,7 +1,7 @@ References ========== -Zhi-Hua Zhou. `Abductive learning: Towards bridging machine learning and logical reasoning. `_. **Science China Information Sciences**, 2019, 62: 076101. +Zhi-Hua Zhou. `Abductive learning: Towards bridging machine learning and logical reasoning. `_. **Science China Information Sciences**, 2019, 62: 076101. Zhi-Hua Zhou and Yu-Xuan Huang. `Abductive learning `_. In P. Hitzler and M. K. Sarker eds., **Neuro-Symbolic Artificial Intelligence: The State of the Art**, IOP Press, Amsterdam, 2022, p.353-379