SiN: Integrating Case-Based Reasoning with Task Decomposition

Abstract

This paper describes SiN, a novel case-based planning algorithm that combines conversational case retrieval with generative planning. SiN is provably correct, and can generate plans given an incomplete domain theory by using cases to extend that domain theory. SiN can also reason with imperfect world-state information by incorporating preferences into the cases. Our empirical validation show how these preferences affect plan quality.

Cite

Text

Muñoz-Avila et al. "SiN: Integrating Case-Based Reasoning with Task Decomposition." International Joint Conference on Artificial Intelligence, 2001.

Markdown

[Muñoz-Avila et al. "SiN: Integrating Case-Based Reasoning with Task Decomposition." International Joint Conference on Artificial Intelligence, 2001.](https://mlanthology.org/ijcai/2001/munozavila2001ijcai-sin/)

BibTeX

@inproceedings{munozavila2001ijcai-sin,
  title     = {{SiN: Integrating Case-Based Reasoning with Task Decomposition}},
  author    = {Muñoz-Avila, Héctor and Aha, David W. and Nau, Dana S. and Weber, Rosina and Breslow, Len and Yaman, Fusun},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2001},
  pages     = {999-1004},
  url       = {https://mlanthology.org/ijcai/2001/munozavila2001ijcai-sin/}
}