Conceptual Clustering of Mean-Ends Plans

Abstract

Planning benefits from efficient and accurate recall of relevant past experience. We describe the application of conceptual clustering to the task of organizing operators and plans for efficient reuse. In particular, STRIPS-style operators and plans may be grouped, characterized and reused based on similar applicability (ADD, DELETE, and PRE) conditions.

Cite

Text

Yang and Fisher. "Conceptual Clustering of Mean-Ends Plans." International Conference on Machine Learning, 1989. doi:10.1016/B978-1-55860-036-2.50066-7

Markdown

[Yang and Fisher. "Conceptual Clustering of Mean-Ends Plans." International Conference on Machine Learning, 1989.](https://mlanthology.org/icml/1989/yang1989icml-conceptual/) doi:10.1016/B978-1-55860-036-2.50066-7

BibTeX

@inproceedings{yang1989icml-conceptual,
  title     = {{Conceptual Clustering of Mean-Ends Plans}},
  author    = {Yang, Hua and Fisher, Douglas H.},
  booktitle = {International Conference on Machine Learning},
  year      = {1989},
  pages     = {232-234},
  doi       = {10.1016/B978-1-55860-036-2.50066-7},
  url       = {https://mlanthology.org/icml/1989/yang1989icml-conceptual/}
}