Proceedings

Par-KAP: a Knowledge Acquisition Tool for Building Practical Planning Systems

Download BibTeX Cite

Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Planning and Scheduling. Pages 1246-1252.

Abstract

Recently, attention has b ee n focused on providing Knowledge Acquisition (KA) support for building practical planning systems. Such support is needed to guide a knowledge engin ee r in selecting planning methods, as well as for building and validating th e planning knowl edge-base for a given practical domain . Following current practice in knowledge acquisition, developing KA tools for planning requir es that a number of planning knowledge components are made explicit. This includ es explicating (i) a planning domain onto logy, (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 summariz e the planning knowledge components which we have identified in previous work , and, based on these , present an implementation (Par-KAP) that can exp loit th ese models to aid knowledge engineers in constructing practical planning systems.

Leliane Nunes de Barros, James A. Hendler, and V. Richard Benjamins. 1997. Par-KAP: a Knowledge Acquisition Tool for Building Practical Planning Systems. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97. IJCAI, 1246–1252. https://ijcai.org/proceedings/1997/180
Welcome Future Conferences AI Journal Division IJCAI Proceedings About IJCAI IJCAI Awards