A GENERAL FRAMEWORK FOR KNOWLEDGE-BASED PATTERN RECOGNITION

1987 ◽  
Vol 01 (02) ◽  
pp. 189-205 ◽  
Author(s):  
F. BERGADANO ◽  
L. SAITTA
Keyword(s):  
Pattern Recognition ◽  
Expert System ◽  
Knowledge Representation ◽  
General Framework ◽  
Common Knowledge ◽  
Learning Module ◽  
Knowledge Based ◽  
Recognition Phase ◽  
Representation Scheme

This paper surveys a long term project, aimed at providing a general methodology for building up and maintaining an expert system oriented to Pattern Recognition problems. The methodology makes use of an integrated set of modules, performing different functions but sharing a common knowledge representation scheme. In particular, a learning module allows to acquire the knowledge automatically from a set of examples and another module performs sophisticated reasoning, on the basis of the available knowledge, during the recognition phase.

OWLKNEST: An Expert System to Provide Operator Workload Guidance

1989 ◽  
Vol 33 (20) ◽  
pp. 1486-1490 ◽  
Author(s):  
Regina M. Harris ◽  
Susan G. Hill ◽  
Robert J. Lysaght
Keyword(s):  
Expert System ◽  
Knowledge Representation ◽  
Design Approach ◽  
General Description ◽  
Knowledge Based ◽  
Army Research Institute ◽  
Representation Scheme ◽  
Operator Workload ◽  
Sample System ◽  
Research Institute

The Operator Workload Knowledge-based Expert System Tool (OWLKNEST) is a microcomputer-based tool that provides guidance in selecting the most appropriate technique to use for estimating Operator Workload (OWL) for developing Army systems. OWLKNEST is based on twenty years of workload research and on knowledge gained in the three-year Army Research Institute OWL Program. The design approach is presented along with a general description of targeted users and knowledge representation scheme. The criteria used to evaluate available OWL techniques for inclusion in the system are also presented. Sample system applications are presented which illustrate how OWLKNEST can be used for a variety of needs.

scholarly journals Knowledge-Based Expert System Development and Validation with Petri Nets

2008 ◽  
Vol 07 (01) ◽  
pp. 37-46 ◽  
Author(s):  
Madjid Tavana
Keyword(s):  
Expert System ◽  
Knowledge Representation ◽  
Petri Nets ◽  
Decision Trees ◽  
System Development ◽  
Semantic Networks ◽  
Knowledge Based ◽  
Medical Diagnostic ◽  
High Level ◽  
Decision Tables

Expert systems (ESs) are complex information systems that are expensive to build and difficult to validate. Numerous knowledge representation strategies such as rules, semantic networks, frames, objects and logical expressions are developed to provide high-level abstraction of a system. Rules are the most commonly used form of knowledge representation and they are derived from popular techniques such as decision trees and decision tables. Despite their huge popularity, decision trees and decision tables are static and cannot model the dynamic requirements of a system. In this study, we propose Petri Nets (PNs) for dynamic system representation and rule derivation. PNs with their graphical and precise nature and their firm mathematical foundation are especially useful for building ESs that exhibit a variety of situations, including: sequential execution, conflict, concurrency, synchronisation, merging, confusion, or prioritisation. We demonstrate the application of our methodology in the design and development of a medical diagnostic expert system.

scholarly journals ON GRAPH-BASED DESIGN OF FLOOR LAYOUTS

2003 ◽  
Vol 9 (2) ◽  
pp. 132-138
Author(s):  
Adam Borkowski ◽  
Grzegorz Chaś ◽  
Quoc Thanh Nguyen
Keyword(s):  
Knowledge Representation ◽  
Expert Systems ◽  
Rational Solution ◽  
Layout Design ◽  
Detailed Design ◽  
Code Of Practice ◽  
Knowledge Based ◽  
Cad Tool ◽  
Representation Scheme

Knowledge-based tools assisting the designer in engineering represent further improvement of expert systems. The present paper shows how such software can be developed in the particular domain of floor layout design for buildings. The recently developed paradigm of hierarchical graphs is taken as the knowledge representation scheme. The user of the system is encouraged to undertake the search for rational solution at two levels. First, an analysis of functionality requirements for the designed object is performed. This results in a graph capturing main functions and relations between them. Further, this graph is mapped onto another graph depicting the floor layout in terms of areas and rooms. Both graphs produced by the user are checked against the constraints resulting from the requirements of the relevant code of practice. The final result is converted into the format accepted by a commercial CAD-tool in order to proceed with the detailed design.

Long-Term Load Forecasting for Fast-Developing Utility Using a Knowledge-Based Expert System

2002 ◽  
Vol 22 (4) ◽  
pp. 78-78 ◽  
Author(s):  
M. S. Kandil ◽  
S. M. El-Debeiky ◽  
N. E. Hasanien
Keyword(s):  
Expert System ◽  
Load Forecasting ◽  
Knowledge Based

Knowledge representation and planning control in an expert system for the creative design of mechanisms

1987 ◽  
Vol 1 (2) ◽  
pp. 119-137 ◽  
Author(s):  
David A. Hoeltzel ◽  
Wei-Hua Chieng ◽  
John Zissimides
Keyword(s):  
Expert System ◽  
Knowledge Representation ◽  
Mechanism Design ◽  
Power Transmission ◽  
Combustion Engine ◽  
Interactive System ◽  
Domain Specific ◽  
Design Engineers ◽  
Primary Focus ◽  
Representation Scheme

An interactive system, referred to as MECXPERT {Mechanism Expert}, has been designed with the expressed purpose of assisting nonexpert design engineers in creating mechanisms for fulfilling specific motion-conversion and/or power-transmission requirements. The particular knowledge representation scheme chosen for this application comprises a hybrid formulation of a rule-based production system with a frame-based approach. The underlying control strategy is based on a series of special-purpose, domain-specific operators whose function is to move from one problem space to another through various stages or ‘states’ that comprise the mechanism design process.The primary focus of this paper centers on the representation of knowledge and its control within an expert system for creative mechanism design. An overview summarizing the reasons for developing such an expert system is provided, and the formulation of a problem is discussed through an example taken from the design of a variable-stroke internal-combustion engine mechanism.

From Freezing to Investing: New Approaches to Monetary and Currency Policies

2008 ◽  
pp. 47-55
Author(s):  
A. Nekipelov ◽  
Yu. Goland
Keyword(s):  
Economic Policy ◽  
Property Rights ◽  
Main Idea ◽  
State Intervention ◽  
Economic Thought ◽  
Human Potential ◽  
Knowledge Based ◽  
Russian Economy ◽  
Knowledge Based Economy

The appeals to minimize state intervention in the Russian economy are counterproductive. However the excessive involvement of the state is fraught with the threat of building nomenclature capitalism. That is the main idea of the series of articles by prominent representatives of Russian economic thought who formulate their position on key elements of the long-term strategy of Russia’s development. The articles deal with such important issues as Russia’s economic policy, transition to knowledge-based economy, basic directions of monetary and structural policies, strengthening of property rights, development of human potential, foreign economic priorities of our state.

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