The ability to identify and represent the knowledge that a human expert has about a particular domain is a key method in the creation of an expert computer system. The first part of this paper demonstrates a methodology for collecting and analyzing observations of experts at work, in order to find the conceptual framework used for the particular domain. The second part develops a representation for qualitative knowledge of the structure and behavior of a mechanism. The qualitative simulation process is given a qualitative structural description of a mechanism and some initialization information, and produces a detailed description of the mechanism's behavior. The simulation process has been fully implemented, and its results are shown ...
Understanding of human expertise and its acquisition has progressed substantially since Chase & ...
Introduction. Modeling serves as a methodological basis for modern science and a tool for cognitive ...
This paper outlines an efficient method to gather, represent, and learn expert knowledge by examinin...
Expert systems are generally described by a mixture of terms that confuse implementation language wi...
The subject of this thesis is, broadly, knowledge elicitation for knowledge-based, or expert systems...
This paper presents a learning-based approach to the automation of knowledge acquisition for expert ...
Computer simulations are an often applied and promising form of CAL. A main characteristic of comput...
textabstractAn expert system can be defined as a computer program which uses artificial intelligence...
Human experts posses the ability to solve problemns without an explicity formulated algorithm. Exper...
It is shown how certain kinds of domain independent expert systems based on classification problem-s...
Knowledge acquisition for an understanding of discrete event simulation systems is a difficult task....
Procedural knowledge forms an important part of expertise. This paper describes a system which allow...
The creation of expert systems is one way in which knowledge is codified. In creating an expert syst...
The mental models of experts can be encoded in computational cognitive models that can support the f...
This paper describes a framework for automatically learning implicit knowledge by non-intrusively ob...
Understanding of human expertise and its acquisition has progressed substantially since Chase & ...
Introduction. Modeling serves as a methodological basis for modern science and a tool for cognitive ...
This paper outlines an efficient method to gather, represent, and learn expert knowledge by examinin...
Expert systems are generally described by a mixture of terms that confuse implementation language wi...
The subject of this thesis is, broadly, knowledge elicitation for knowledge-based, or expert systems...
This paper presents a learning-based approach to the automation of knowledge acquisition for expert ...
Computer simulations are an often applied and promising form of CAL. A main characteristic of comput...
textabstractAn expert system can be defined as a computer program which uses artificial intelligence...
Human experts posses the ability to solve problemns without an explicity formulated algorithm. Exper...
It is shown how certain kinds of domain independent expert systems based on classification problem-s...
Knowledge acquisition for an understanding of discrete event simulation systems is a difficult task....
Procedural knowledge forms an important part of expertise. This paper describes a system which allow...
The creation of expert systems is one way in which knowledge is codified. In creating an expert syst...
The mental models of experts can be encoded in computational cognitive models that can support the f...
This paper describes a framework for automatically learning implicit knowledge by non-intrusively ob...
Understanding of human expertise and its acquisition has progressed substantially since Chase & ...
Introduction. Modeling serves as a methodological basis for modern science and a tool for cognitive ...
This paper outlines an efficient method to gather, represent, and learn expert knowledge by examinin...