zugzwang.bib 1.53 KB
@inproceedings{verreet2022inference,
  title={Inference and learning with model uncertainty in probabilistic logic programs},
  author={Verreet, Victor and Derkinderen, Vincent and Dos Martires, Pedro Zuidberg and De Raedt, Luc},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={36},
  number={9},
  pages={10060--10069},
  year={2022}
}

@article{cropper2022inductive,
  title={Inductive logic programming at 30},
  author={Cropper, Andrew and Duman{\v{c}}i{\'c}, Sebastijan and Evans, Richard and Muggleton, Stephen H},
  journal={Machine Learning},
  volume={111},
  number={1},
  pages={147--172},
  year={2022},
  publisher={Springer}
}

@article{cozman2020joy,
  title={The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference},
  author={Cozman, Fabio Gagliardi and Mau{\'a}, Denis Deratani},
  journal={International Journal of Approximate Reasoning},
  volume={125},
  pages={218--239},
  year={2020},
  publisher={Elsevier}
}

@book{riguzzi2022foundations,
  title={Foundations of probabilistic logic programming: Languages, semantics, inference and learning},
  author={Riguzzi, Fabrizio},
  year={2022},
  publisher={CRC Press}
}

@article{gebser2012answer,
  title={Answer set solving in practice},
  author={Gebser, Martin and Kaminski, Roland and Kaufmann, Benjamin and Schaub, Torsten},
  journal={Synthesis lectures on artificial intelligence and machine learning},
  volume={6},
  number={3},
  pages={1--238},
  year={2012},
  publisher={Morgan \& Claypool Publishers}
}