Defeasible Logic Programming (DeLP) is a suitable tool for knowledge representation and reasoning. Its operational semantics is based on a dialectical analysis where arguments for and against a literal interact in order to determine whether this literal is believed by…

As we begin to comprehend the ways we interact with the data/information/knowledge structures which construct our individual perception of reality, we see a shift from the dyadic Cartesian method of reading our environment, to a triadic, or Systems View, which…

by Tracy S. Myers., Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1995., Includes bibliographical references (leaves 118-125).

Workers and employees are increasingly exposed in the workplace to chemical compounds and substances that are potentially toxic; for most of these compounds, no information exist regarding effects on human health. As one of the main employment generation sources, Small…

Speech synthesis is an automatic encoding process carried out by machine through which symbols conveying linguistic information are converted into an acoustic waveform. In the past decade or so, a recent trend toward a non-parametric, corpus-based approach has focused on…

Traditionally our UK higher education establishments have majored on a lecturer instructing a group of students. The focus has been very much on transferring a body of knowledge to a set of learners using a variety of teaching methods. The…

The aim of this article is to investigate and bring
to light the constructive impact of Knowledge
Creation and Technology Education on the
process of New Product Development. This is
done under the competence-based perspective
of the organization, where knowledge…

Academic engineering graphics curricula are facing a rapidly changing knowledge base and current teaching and assessment methods are struggling to keep pace.  This paper is the second in a two-part series which examines practicing engineering graphics professionals to discover their…

Although BNs have been used successfully for many medical diagnosis problems, there have been few applications to epidemiological data where data mining methods play a significant role. In this paper, we look at the application of BNs to epidemiological data,…

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