---
title: "Par-KAP: a Knowledge Acquisition Tool for Building Practical Planning Systems"
authors:
  - "Leliane Nunes de Barros"
  - "James A. Hendler"
  - "V. Richard Benjamins"
doi: ""
url: "https://ijcai.org/proceedings/1997/180"
pdf: "https://ijcai.org/proceedings/1997/0180.pdf"
venue: "Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence"
year: 1997
pages: "1246-1252"
track: "Planning and Scheduling"
keywords:
---

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

Leliane Nunes de Barros, James A. Hendler, V. Richard Benjamins

*Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence*, 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.