Since the last edition of this book there have been rapid developments in the use and exploitation of formally elicited knowledge. Previously, (Shadbolt and Burton, 1995) the emphasis was on eliciting knowledge for the purpose of building expert or knowledge-based systems. These systems are computer programs intended to solve real-world problems, achieving the same level of accuracy as human experts. Knowledge engineering is the discipline that has evolved to support the whole process of specifying, developing and deploying knowledge-based systems (Schreiber et al., 2000) This chapter will discuss the problem of knowledge elicitation for knowledge intensive systems in general
Purpose – A significant part of knowledge and experience in an organization belongs not to the orga...
Knowledge Acquisition refers to the transfer of expertise from a human expert into a knowledge-base ...
Human experts posses the ability to solve problemns without an explicity formulated algorithm. Exper...
In this chapter the enterprise of knowledge elicitation, the process of explicating domain specific ...
Purpose – Significant part of knowledge and experience in an organization belongs not to the organiz...
For more than 20 years, artificial intelligence techniques have been applied to the development of c...
textabstractAn expert system can be defined as a computer program which uses artificial intelligence...
In recent years there has been a tremendous increase in the development of expert systems in organiz...
In recent years there has been a tremendous increase in the development of expert systems in organiz...
A knowledge elicitation technique selection for a knowledge elicitation from an expert still represe...
Current expert operators provide valuable information to developers of new systems. They can help in...
In recent years there has been a tremendous increase in the development of expert systems in organiz...
While machine learning has shown success in many fields, it can be challenging when there are limita...
Purpose – A significant part of knowledge and experience in an organization belongs not to the orga...
Knowledge Acquisition refers to the transfer of expertise from a human expert into a knowledge-base ...
Purpose – A significant part of knowledge and experience in an organization belongs not to the orga...
Knowledge Acquisition refers to the transfer of expertise from a human expert into a knowledge-base ...
Human experts posses the ability to solve problemns without an explicity formulated algorithm. Exper...
In this chapter the enterprise of knowledge elicitation, the process of explicating domain specific ...
Purpose – Significant part of knowledge and experience in an organization belongs not to the organiz...
For more than 20 years, artificial intelligence techniques have been applied to the development of c...
textabstractAn expert system can be defined as a computer program which uses artificial intelligence...
In recent years there has been a tremendous increase in the development of expert systems in organiz...
In recent years there has been a tremendous increase in the development of expert systems in organiz...
A knowledge elicitation technique selection for a knowledge elicitation from an expert still represe...
Current expert operators provide valuable information to developers of new systems. They can help in...
In recent years there has been a tremendous increase in the development of expert systems in organiz...
While machine learning has shown success in many fields, it can be challenging when there are limita...
Purpose – A significant part of knowledge and experience in an organization belongs not to the orga...
Knowledge Acquisition refers to the transfer of expertise from a human expert into a knowledge-base ...
Purpose – A significant part of knowledge and experience in an organization belongs not to the orga...
Knowledge Acquisition refers to the transfer of expertise from a human expert into a knowledge-base ...
Human experts posses the ability to solve problemns without an explicity formulated algorithm. Exper...