We have looked at the process of discovery as an aspect of reasoning about knowledge, particularly in relation to problems of knowledge acquisition or learning. In those problems we have found to be of interest, a body of knowledge to-be-acquired may be infinite. Still, it can be "learned" through discovery of a model that correctly represents the knowledge in some finite way. Realistically, ex...

Experience contributes to tacit knowledge acquisition but its role especially in the academic domain remains unclear. This study investigates the role of experience in tacit knowledge acquisition in Malaysian academia using the mixed methods approach with grounded theory as the qualitative approach followed by survey. It is discovered that tacit knowledge is knowledge internalized by the academ...

Machine learning and knowledge elicitation are different but complementary approaches to knowledge acquisition. On the face of it there are large potential gains to be reaped from the integration of these two knowledge acquisition techniques. Machine-expert collaborative knowledge acquisition combines these approaches by placing the machine learning system and the human expert as partners in th...

A novel method for extracting, representing and propagating qualitative correlations among hypotheses as confirmatory or disconfirmatory evidence of uncertain reasoning is presented. First, two new concepts, qualitative correlations among hypotheses and qualitative correlation propagation, are introduced. Then, an algorithm for extracting and representing qualitative correlations among hypothes...

While many researchers have qualitatively examined the affordances and constraints of AR in educational settings, only few studies exist that tried to quantify the effect of AR on learning performance. To contribute to filling this research gap, we conducted a pretest-posttest-posttest crossover field experiment with 24 participants at a mathematics exhibition to measure the effect of AR on acq...

Abstract—Healthcare safety has been perceived important. It is essential to prevent troubles in healthcare processes for healthcare safety. Trouble prevention is based on trouble prediction using accumulated knowledge on processes, troubles, and countermeasures. However, information on troubles has not been accumulated in hospitals in the appropriate structure, and it has not been utilized effe...

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...