Add to ORKGMetrics used on development of expert systems is not a well investigated problem area. This article suggests some metrics to be used to measure the maturity of the conceptualization process and the complexity of the decision process in the problem domain. We propose some further work to be done with these metrics. Applying those metrics makes new and interesting problems, concerning the structure of knowledge to surface.Eje: VI Workshop de Agentes y Sistemas Inteligentes (WASI)Red de Universidades con Carreras en Informática (RedUNCI
For more than 20 years, artificial intelligence techniques have been applied to the development of c...
Models allow us to simplify reality and give advantages to both decomposition and abstraction. Model...
Research over the past decade has established that managing knowledge assets can be a strategic choi...
Metrics used on development of expert systems is not a well investigated problem area. This article ...
Metrics used on development of expert systems is not a well investigated problem area. This article ...
Metrics used on development of expert systems is not a well investigated problem area. This article ...
Metrics have been routinely employed in the development of traditional software. With the adoption o...
czs~cenparmi.concordia.ca The importance of metric measures has been rec-ognized in almost every sci...
The focus of this paper is to present a classification methodology for evaluating the complexity of ...
Knowledge acquisition is the biggest bottleneck in the development of expert systems. Fortunately, t...
Human experts posses the ability to solve problemns without an explicity formulated algorithm. Exper...
This paper describes a study addressing the issue of developing an appropriate mapping of knowledge ...
Knowledge is key to competitive advantage, but it is inherently invisible, intangible and resistant ...
Investigates several new tools for measuring complexity of expert systems. Most effective was RC (Ru...
Experiences of AI technology application in engineering domain are discussed and illustrated by seve...
For more than 20 years, artificial intelligence techniques have been applied to the development of c...
Models allow us to simplify reality and give advantages to both decomposition and abstraction. Model...
Research over the past decade has established that managing knowledge assets can be a strategic choi...
Metrics used on development of expert systems is not a well investigated problem area. This article ...
Metrics used on development of expert systems is not a well investigated problem area. This article ...
Metrics used on development of expert systems is not a well investigated problem area. This article ...
Metrics have been routinely employed in the development of traditional software. With the adoption o...
czs~cenparmi.concordia.ca The importance of metric measures has been rec-ognized in almost every sci...
The focus of this paper is to present a classification methodology for evaluating the complexity of ...
Knowledge acquisition is the biggest bottleneck in the development of expert systems. Fortunately, t...
Human experts posses the ability to solve problemns without an explicity formulated algorithm. Exper...
This paper describes a study addressing the issue of developing an appropriate mapping of knowledge ...
Knowledge is key to competitive advantage, but it is inherently invisible, intangible and resistant ...
Investigates several new tools for measuring complexity of expert systems. Most effective was RC (Ru...
Experiences of AI technology application in engineering domain are discussed and illustrated by seve...
For more than 20 years, artificial intelligence techniques have been applied to the development of c...
Models allow us to simplify reality and give advantages to both decomposition and abstraction. Model...
Research over the past decade has established that managing knowledge assets can be a strategic choi...