This paper describes an approach to model students' knowledge growth from novice to expert within the framework of a help system, ABSYNT, in the domain of functional programming. The help system has expert knowledge about a large solution space. This is necessary because especially novices often produce "unusual" solutions. On the other hand, it requires a model of the students' actual state of...

Knowledge acquisition remains one of the primary constraints on the development of expert systems. A number of researchers have explored methods for allowing a machine learning system to assist a knowledge engineer in knowledge acquisition. In contrast, we are exploring methods for enabling an expert to directly interact with a machine learning system to collaborate during knowledge acquisition...

This paper describes the practical application of ontologies in designing knowledge-based systems. We built a common ontology to allow knowledge sharing among several applications in the domain of air campaign planning. In trying to reuse this shared ontology, we confirmed previous findings in the knowledge acquisition literature: it is difficult to simultaneously obtain high usability (i.e., a...

This paper intends to verify the impact of geographical proximity on the processes of knowledge acquisition and exploitation by high-tech start-ups considering at the same time the role of both the social and cognitive dimensions of proximity. Our basic assumption is that proximity means a lot more than just geography. The findings from this research broaden our understanding of how start-ups l...

This paper reviewed the relationships between the Knowledge Management (KM) activities and its perceived benefits in the knowledge based organizations. KM activities include: knowledge identification, knowledge acquisition, knowledge application, knowledge sharing, knowledge creation and knowledge preservation. And the perceived benefits of KM are fast customer responsiveness, operation excelle...

The aim of this study was to develop machine learning techniques that would speed up knowledge acquisition from an expert. As the expert provided knowledge the system would generalize from this knowledge in order to reduce the need for later knowledge acquisition. This generalization should be completely hidden from the expert. We have developed such a learning technique based on Duce’s intra-c...

This paper presents recent research into methods used in Australian Indigenous Knowledge sharing and looks at how these can support the creation of suitable collaborative environments for timely organisational learning. The protocols and practices as used today and in the past by Indigenous communities are presented and discussed in relation to their relevance to a personalised system of knowle...

This paper provides an overview of a variety of applications of knowledge-based systems and intelligent agents to modeling and simulation for special operations training. There are a number of ways in which intelligent agents can support training; including modeling special-operations individuals, other members of the blue forces, as well as opponent forces. The paper presents examples of each ...

The GNOSIS project in the Intelligent Manufacturing Systems international research program is concerned with the use of advanced information technology for knowledge systematization to support the complex intellectual and managerial processes involved in the manufacturing life cycle. It has developed technologies to coordinate distributed manufacturing enterprises, and these technologies have a...

In this paper I describe an approach to automated knowledge acquisition in which users specify desired system behavior by constructing justifications of examples. Justifications are explanations of why example behaviors are appropriate in given situations. I analyze the problem of acquiring justifications, showing how current knowledge acquisition techniques are best suited for asking what-ques...