In this paper we present POEMS a postoperative expert medical system currently under development in Leeds. The knowledge representation scheme using KR, an object oriented system [1], and its relation to this medical domain is described. A diagnostic engine based on KR's constraint propagation mechanism is outlined, and a knowledge acquisition scheme utilizing Active and Passive Learning method...

Intelligent Tutoring Systems require three different kinds of knowledge: the domain to be taught, techniques of teaching, and characteristics of the student. As such it is worth considering the extent to which knowledge acquisition techniques for conventional expert systems can be applied, and in particular those which aim to semi-automate the process. This paper considers some of the special f...

This experimental study tested the knowledge gap hypothesis at the intersection of audience education levels and news formats (newspaper versus online). The findings reveal a gap in public affairs knowledge acquisition between South Korean citizens (N=123) from different educational backgrounds. Moreover, the high education group comprehended news with the same level of efficiency across online...

Abstract: Personal construct psychology is a theory of individual and group psychological and social processes that takes a constructivist position in modeling human knowledge but bases this on a positivist scientific position that characterizes conceptual structures in axiomatic terms. It provides a fundamental framework for both theoretical and applied studies of knowledge acquisition and rep...

We present a system that extracts knowledge from the textual content of documents. The acquired knowledge is represented through an associative network, that is dynamically updated by the integration of a contextualized structure representing the content of the new analysed document. Grounded on the basis of “long term working memory” theory by W. Kintsch and K.A. Ericsson, our system makes use...

Generative approaches to language have long recognized the natural link between theories of knowledge representation and theories of knowledge acquisition. The basic idea is that the knowledge representations provided by Universal Grammar enable children to acquire language as reliably as they do because these representations highlight the relevant aspects of the available linguistic data. So, ...

We present a general approach to combine methods of interactive knowledge acquisition with methods for machine learning. The approach has been developed in order to deliver knowledge required by support-systems for design-tasks. Learning rests upon a knowledge representation scheme for cases that distinguishes between knowledge needed for subgoaling and knowledge needed for design. We employ tr...

Knowledge representation in a semi-automated knowledge acquisition system should facililate bolh knowledge eiicilation and learning. Such a representation is implemented in lhe system NeoDISCIPLE. This is a concept based representation in which generalization and specialization operations are performed by simple syntactic transformations of knowledge. Thus, it is very appropriate for learning. ...

This paper describes the building of an application for advising on the identiication and rectiication of problems in \hole-in-the-wall" machines. Although the diagnosis that the system carries out is comparatively simple, it is worthy of note both for its size and for the unusual approach taken to the knowledge acquisition process. This was based around experts working alone to ll in on-line \...