Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/7059
Title: Integrating multiple problem solvers in knowledge-based systems
Authors: Christodoulou, Eleni 
Keravnou-Papailiou, Elpida 
Keywords: Engineering;Expert systems (Computer science);Computer science;Computer architecture;Algorithms;Knowledge representation
Category: Computer and Information Sciences
Field: Natural Sciences
Issue Date: Jun-1997
Source: Knowledge Engineering Review, 1997, vol. 12, no. 2, pp. 181-207
Journal: Knowledge Engineering Review 
Abstract: Research in knowledge-based systems has shown that the use of multiple knowledge representation formalisms and reasoning mechanisms for achieving a specific task in complex domains could result in efficient and effective problem solving. This has led t o the development of a number of general architectures and application-specific systems integrating multiple problem solvers. A problem solver is defined to be an association between a knowledge intensive (sub)task, an inference mechanism and a knowledge representation formalism on which the inference mechanism is working to achieve the (sub)task. A knowledge-based system making use of different problem solvers should address a number of critical aspects of integration of the solvers, like interaction, in vocation, reactiveness, learning and expandability. The aim of this paper is to distinguish and discuss essential integration aspects, and to review a number of proposed general hybrid architectures and application specific hybrid systems on the basis of these aspects. The review shows that none of these general architectures or application specific systems directly addresses all the identified integration aspects. In general, the limitations exhibited by these systems are due to the naive form of interac tion and invocation of the integrated solvers. We give a high level specification for a competent hybrid knowledge-based architecture that supports the identified integration aspects
ISSN: 1469-8005
DOI: 10.1017/S0269888997002014
Collaboration : University of Cyprus
Rights: © Cambridge University Press
Type: Article
Appears in Collections:Άρθρα/Articles

CORE Recommender
Show full item record

WEB OF SCIENCETM
Citations

1
Last Week
0
Last month
checked on May 27, 2020

Page view(s)

124
Last Week
1
Last month
4
checked on May 23, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.