Par-KAP: A Knowledge Acquisition Tool for Building Practical Planning Systems
Abstract
Recently, attention has been focused on providing Knowledge Acquisition (KA) support for building practical planning systems. Such support is needed to guide a knowledge engineer in selecting planning methods, as well as for building and validating the planning knowledge-base for a given practical domain. Following current practice in knowledge acquisition, developing KA tools for planning requires that a number of planning knowledge components are made explicit. This includes explicating (i) a planning domain ontology, (ii) a library of problem-solving methods (PSMs) used in planning, and (iii) a set of domain requirements that are used to select a suitable PSM. In this paper, we summarize the planning knowledge components which we have identified in previous work, and, based on these, present an implementation (Par-KAP) that can exploit these models to aid knowledge engineers in constructing practical planning systems. 1
Cite
Text
de Barros et al. "Par-KAP: A Knowledge Acquisition Tool for Building Practical Planning Systems." International Joint Conference on Artificial Intelligence, 1997.Markdown
[de Barros et al. "Par-KAP: A Knowledge Acquisition Tool for Building Practical Planning Systems." International Joint Conference on Artificial Intelligence, 1997.](https://mlanthology.org/ijcai/1997/debarros1997ijcai-par/)BibTeX
@inproceedings{debarros1997ijcai-par,
title = {{Par-KAP: A Knowledge Acquisition Tool for Building Practical Planning Systems}},
author = {de Barros, Leliane Nunes and Hendler, James A. and Benjamins, V. Richard},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {1997},
pages = {1246-1253},
url = {https://mlanthology.org/ijcai/1997/debarros1997ijcai-par/}
}