Knowledge acquisition consists of eliciting expertise from one or more experts in order to
construct a knowledge base. When knowledge is elicited from multiple experts, it is …

Knowledge acquisition is a bottleneck for expert system design. One way to overcome this
bottleneck is to induce expert system rules from sample data. This paper presents a new …

The already difficult knowledge acquisition process is complicated when the expert system
being developed requires interaction with multiple experts. In this tutorial for novice …

Abstract Machine learning and knowledge acquisition from experts have distinct capabilities
that appear to complement one another. We report a study that demonstrates the integration …

Abstract Knowledge intensive processes are often driven and constrained by mental models
of experts. Especially in industrial processes, the knowledge is not explicit but tacit in many …

To maintain a high performance in an ill‐structured situation, expert systems should depend
on multiple sources of knowledge rather than a single type. For this reason, we propose …

The knowledge acquisition bottleneck impeding the development of expert systems is being
alleviated by the development of computer-based knowledge acquisition tools. These work …

This paper presents a modeling technique that extracts judgments and decisions from
experts to derive a consensual model for decision support. The proposed approach is …

The elicitation of knowledge from an expert is practised in several fields and is of interest to
various types of specialists: psychologists, pedagogues, cognitivists, engineers. There may …

The application of expert systems in organizations has increased dramatically in recent
years. The power of these expert systems mainly derives from the knowledge they possess …