Our goal is to build knowledge acquisition tools that support users in modifying knowledge-based systems. These modiications may require several individual changes to various components of the knowledge base, which need to be carefully coordinated to prevent users from leaving the knowledge-based system in an unusable state. This paper describes an approach to building knowledge acquisition too...

Machine learning and knowledge acquisition from experts have distinct and apparently complementary knowledge acquisition capabilities. This study demonstrates that the integration of these approaches can both improve the accuracy of the knowledge base that is developed and reduce the time taken to develop it. The system studied, called The Knowledge Factory is distinguished by the manner in whi...

We develop a new methodology and tool for knowledge acquisition under uncertainty. A new knowledge representation called Bayesian Knowledge Bases provides a powerful key to our approach and is well-grounded in probability theory. In this paper, we demonstrate the ease and flexibility with which knowledge acquisition can be accomplished while ensuring the consistency of the knowledge base as dat...

By presenting two approaches to a well-known Piagetian experiment, the water-level task, I emphasize the importance of two complementary views of knowledge acquisition. The first is Piaget's developmental approach, often referred to as “stage theory,” and the second, I call the “differential” approach. Stage theory captures what is common in people's ways of thinking at different levels of thei...

Most knowledge-based system development efforts include acquiring knowledge from one or more sources. Difficulties associated with this knowledge acquisition task are readily acknowledged by most researchers. While a variety of knowledge acquisition methods have been reported, little has been done to organize those different methods and to suggest how to apply them within a conceptual framework...

Received: 22 September 2011 Revised: 2 July 2012 Accepted: 17 October 2012 Abstract Numerous studies highlight the advantages of accessing knowledge from outside the firm as a means of enhancing the firm’s innovation efforts. However, access to external knowledge is not without organisational problems, including rejection of external knowledge by firm members or difficulties in applying such kn...

Introduction Knowledge elicitation consists of a set of techniques and methods that attempt to elicit the knowledge of a domain expert1, typically through some form of direct interaction with the expert. Knowledge elicitation is a sub-process of knowledge acquisition (which deals with the acquisition or capture of knowledge from any source), and knowledge acquisition is, in turn, a sub-process ...

Constructing a planner for a particular application is a diicult job, for which little concrete support is currently available. The literature on planning is overwhelming and there is no clear synthesis of the various planning methods which could be used by knowledge engineers. In this paper, we show how a general, knowledge-level framework for conceptually specifying knowledge-based systems, c...

To avoid the problem of knowledge acquisition bottleneck a process oriented method for knowledge acquisition was developed. The approach is based on so called scenarios. A scenario describes a certain step within the decision process to be elicited from the medical expert. By using scenario techniques the knowledge engineer is able to represent the elicited knowledge in a way that give both exp...