Improving the efficiency of rule-based expert systems by rule activation

Louis Sanzogni; Francis Suraweera; Geoffrey I. Webb

doi:10.1080/09528139008953732

Improving the efficiency of rule-based expert systems by rule activation

Louis Sanzogni, Francis Suraweera, Geoffrey I. Webb

Research output: Contribution to journal › Article › Research › peer-review

Abstract

In this paper we test a hypothesis that has shown promise in enhancing the efficiency (run-time) of rule-based systems. The results of our experiments suggest that the use of rule activation plays an active part in improving the performance of rule bases containing conflict sets.

Original language	English
Pages (from-to)	369-380
Number of pages	12
Journal	Journal of Experimental and Theoretical Artificial Intelligence
Volume	2
Issue number	4
DOIs	https://doi.org/10.1080/09528139008953732
Publication status	Published - 1 Jan 1990
Externally published	Yes

Keywords

Activation levels
Expert systems
Hypothesis testing
Production systems
Rule activation
Rule-based systems
Run-time efficiency

Access to Document

10.1080/09528139008953732

Cite this

@article{6e34e5ebd1b34dc2a376a7eee21e5939,

title = "Improving the efficiency of rule-based expert systems by rule activation",

abstract = "In this paper we test a hypothesis that has shown promise in enhancing the efficiency (run-time) of rule-based systems. The results of our experiments suggest that the use of rule activation plays an active part in improving the performance of rule bases containing conflict sets.",

keywords = "Activation levels, Expert systems, Hypothesis testing, Production systems, Rule activation, Rule-based systems, Run-time efficiency",

author = "Louis Sanzogni and Francis Suraweera and Webb, {Geoffrey I.}",

year = "1990",

month = jan,

day = "1",

doi = "10.1080/09528139008953732",

language = "English",

volume = "2",

pages = "369--380",

journal = "Journal of Experimental and Theoretical Artificial Intelligence",

issn = "0952-813X",

publisher = "Taylor & Francis",

number = "4",

}

TY - JOUR

T1 - Improving the efficiency of rule-based expert systems by rule activation

AU - Sanzogni, Louis

AU - Suraweera, Francis

AU - Webb, Geoffrey I.

PY - 1990/1/1

Y1 - 1990/1/1

N2 - In this paper we test a hypothesis that has shown promise in enhancing the efficiency (run-time) of rule-based systems. The results of our experiments suggest that the use of rule activation plays an active part in improving the performance of rule bases containing conflict sets.

AB - In this paper we test a hypothesis that has shown promise in enhancing the efficiency (run-time) of rule-based systems. The results of our experiments suggest that the use of rule activation plays an active part in improving the performance of rule bases containing conflict sets.

KW - Activation levels

KW - Expert systems

KW - Hypothesis testing

KW - Production systems

KW - Rule activation

KW - Rule-based systems

KW - Run-time efficiency

UR - http://www.scopus.com/inward/record.url?scp=84951580234&partnerID=8YFLogxK

U2 - 10.1080/09528139008953732

DO - 10.1080/09528139008953732

M3 - Article

AN - SCOPUS:84951580234

VL - 2

SP - 369

EP - 380

JO - Journal of Experimental and Theoretical Artificial Intelligence

JF - Journal of Experimental and Theoretical Artificial Intelligence

SN - 0952-813X

IS - 4

ER -

Improving the efficiency of rule-based expert systems by rule activation

Abstract

Keywords

Access to Document

Other files and links

Cite this