CURRENT TRENDS IN KNOWLEDGE ACQUISITION
Ouvrage 9789051990362 : CURRENT TRENDS IN KNOWLEDGE ACQUISITION
Knowledge acquisition has become a major area of artificial intelligence
and cognitive science research. The papers in this book show that the
area of knowledge acquisition for knowledge-based systems is still a
diverse field in which a large number of research topics are being
addressed. However, several main themes run through the papers. First,
the issues of integrating knowledge from different sources and tools is
a salient topic in many papers. A second major topic in the papers is
that of knowledge modelling. Research in knowledge-based systems
emphasizes the use of generic models of reasoning and its underlying
knowledge. An important trend in the area of knowledge modelling aims at
the formalization of knowledge models. Where the field of knowledge
acquisition was without tools and techniques years ago, now there is a
rapidly growing body of techniques and tools. Apart from the integrated
workbenches already mentioned above, several papers in this book present
new tools. Although knowledge acquisition and machine learning have been
considered as separate subfields of AI, there is a tendency for the two
fields to come together. This publication combines machine learning
techniques with more conventional knowledge elicitation techniques. A
framework is presented in which reasoning, problem solving and learning,
together form a knowledge intensive system that can acquire knowledge
from its own experience.
Auteur : WIELINGA
Editeur : IOS PRESS
Nombre de pages : 385
Date de publication : 05 1990
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