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[DOC] Update ABL references

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Tony-HYX 1 year ago
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4 changed files with 21 additions and 17 deletions
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      README.md
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      docs/Overview/Abductive-Learning.rst
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      docs/README.rst
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      docs/References.rst

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README.md View File

@@ -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}
}
```

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docs/Overview/Abductive-Learning.rst View File

@@ -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 <https://link.springer.com/epdf/10.1007/s11432-018-9801-4?author_access_token=jgJe1Ox3Mk-K7ORSnX7jtfe4RwlQNchNByi7wbcMAY7_PxTx-xNLP7Lp0mIZ04ORp3VG4wioIBHSCIAO3B_TBJkj87YzapmdnYVSQvgBIO3aEpQWppxZG25KolINetygc2W_Cj2gtoBdiG_J1hU3pA==>`_
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>`_.

.. _abd:


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docs/README.rst View File

@@ -56,5 +56,5 @@ For Windows and Mac users, please refer to the `Swi-Prolog Install Guide <https:
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==>`_
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>`_.

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docs/References.rst View File

@@ -1,7 +1,7 @@
References
==========

Zhi-Hua Zhou. `Abductive learning: Towards bridging machine learning and logical reasoning. <https://link.springer.com/epdf/10.1007/s11432-018-9801-4?author_access_token=jgJe1Ox3Mk-K7ORSnX7jtfe4RwlQNchNByi7wbcMAY7_PxTx-xNLP7Lp0mIZ04ORp3VG4wioIBHSCIAO3B_TBJkj87YzapmdnYVSQvgBIO3aEpQWppxZG25KolINetygc2W_Cj2gtoBdiG_J1hU3pA==>`_. **Science China Information Sciences**, 2019, 62: 076101.
Zhi-Hua Zhou. `Abductive learning: Towards bridging machine learning and logical reasoning. <http://scis.scichina.com/en/2019/076101.pdf>`_. **Science China Information Sciences**, 2019, 62: 076101.

Zhi-Hua Zhou and Yu-Xuan Huang. `Abductive learning <https://www.lamda.nju.edu.cn/publication/chap_ABL.pdf>`_. In P. Hitzler and M. K. Sarker eds., **Neuro-Symbolic Artificial Intelligence: The State of the Art**, IOP Press, Amsterdam, 2022, p.353-379



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