Modeling Tasks with Mechanisms

From Tetherless World Wiki

Jump to: navigation, search

Citation: Angel R. Puerta and Samson W. Tu and Mark A. Musen. (1992) Modeling Tasks with Mechanisms. In KSL-92-30, 1992.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Angel R. Puerta and Samson W. Tu and Mark A. Musen
title Modeling Tasks with Mechanisms
number KSL-92-30
institution Knowledge Systems, AI Laboratory
year 1992
Bibtex more
Access Paper
abstract Building a problem solver and acquiring the knowledge needed to operate it are the two central goals of knowledge engineering. To achieve these goals, knowledge engineers construct models of the domain and the task of interest. The various approaches used for modeling, however, have so far failed to define methods and techniques that can be applied across domains and tasks, and to produce models that can be reused in future applications. In this paper, we propose that both of these objectives can be achieved by the use of building blocks called mechanisms. We examine the composition of mechanisms and also show how these mechanisms can be manipulated to construct problem-solving methods. We present PROTEGE-II, a knowledge-acquisition shell that uses problem-solving methods to drive the modeling of tasks, the automatic generation of knowledge-acquisition tools, and the control flow of the problem solver. The modeling of tasks, within the context of PROTEGE-II, is illustrated with two examples: one from the game domain and another from the medical-therapy domain. In addition, we introduce the conceptual basis for a library of mechanisms that serves as a repository of reusable knowledge for components.

KSL Technical Report ID: KSL-92-30
Facts about Modeling Tasks with MechanismsRDF feed
Abstract Building a problem solver and acquiring th … Building a problem solver and acquiring the knowledge needed to operate it are the two central goals of knowledge engineering. To achieve these goals, knowledge engineers construct models of the domain and the task of interest. The various approaches used for modeling, however, have so far failed to define methods and techniques that can be applied across domains and tasks, and to produce models that can be reused in future applications. In this paper, we propose that both of these objectives can be achieved by the use of building blocks called mechanisms. We examine the composition of mechanisms and also show how these mechanisms can be manipulated to construct problem-solving methods. We present PROTEGE-II, a knowledge-acquisition shell that uses problem-solving methods to drive the modeling of tasks, the automatic generation of knowledge-acquisition tools, and the control flow of the problem solver. The modeling of tasks, within the context of PROTEGE-II, is illustrated with two examples: one from the game domain and another from the medical-therapy domain. In addition, we introduce the conceptual basis for a library of mechanisms that serves as a repository of reusable knowledge for components. tory of reusable knowledge for components.
Author Angel R. Puerta and Samson W. Tu and Mark A. Musen  +
Bibtype techreport  +
Has author Angel R. Puerta and Samson W. Tu and Mark A. Musen  +
Has identifier KSL-92-30  +
Has publishing details 1992  +
Has title Modeling Tasks with Mechanisms  +
Has where published KSL-92-30  +
Has year 1992  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-92-30  +
Number KSL-92-30  +
Process note YES  +
Title Modeling Tasks with Mechanisms  +
Year 1992  +
Retrieved from "http://tw.rpi.edu/wiki/Modeling_Tasks_with_Mechanisms"
Personal tools