Combining Specialized Reasoners and General Purpose Planners: A Case Study
Abstract
Many real-world planning problems involve substantial amounts of domain-specific reasoning that is either awkward or inefficient to encode in a general purpose planner. Previous approaches for planning in such domains have either been largely domain specific or have employed shallow models of the domain-specific considerations. In this paper we investigate a hybrid planning model that utilizes a set of specialists to complement both the overall expressiveness and the reasoning power of a traditional hierarchical planner. Such a model retains the flexibility and generality of classical planning framework while allowing deeper and more efficient domain-specific reasoning through specialists. We describe a preliminary implementation of a planning architecture based on this model in a manufacturing planning domain, and use it to explore issues regarding the effect of the specialists on the planning, and the interactions and interfaces between them and the planner.
Cite
Text
Kambhampati et al. "Combining Specialized Reasoners and General Purpose Planners: A Case Study." AAAI Conference on Artificial Intelligence, 1991.Markdown
[Kambhampati et al. "Combining Specialized Reasoners and General Purpose Planners: A Case Study." AAAI Conference on Artificial Intelligence, 1991.](https://mlanthology.org/aaai/1991/kambhampati1991aaai-combining/)BibTeX
@inproceedings{kambhampati1991aaai-combining,
title = {{Combining Specialized Reasoners and General Purpose Planners: A Case Study}},
author = {Kambhampati, Subbarao and Cutkosky, Mark R. and Tenenbaum, Marty and Lee, Soo Hong},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1991},
pages = {199-205},
url = {https://mlanthology.org/aaai/1991/kambhampati1991aaai-combining/}
}