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Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
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Concept Formation and Knowledge Revision (Hardcover, 1994 ed.)
Loot Price: R4,314
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Concept Formation and Knowledge Revision (Hardcover, 1994 ed.)
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A fundamental assumption of work in artificial intelligence and
machine learning is that knowledge is expressed in a computer with
the help of knowledge representations. Since the proper choice of
such representations is a difficult task that fundamentally affects
the capabilities of a system, the problem of automatic
representation change is an important topic in current research.
Concept Formation and Knowledge Revision focuses on representation
change as a concept formation task, regarding concepts as the
elementary representational vocabulary from which further
statements are constructed. Taking an interdisciplinary approach
from psychological foundations to computer implementations, the
book draws on existing psychological results about the nature of
human concepts and concept formation to determine the scope of
concept formation phenomena, and to identify potential components
of computational concept formation models. The central idea of this
work is that computational concept formation can usefully be
understood as a process that is triggered in a demand-driven
fashion by the representational needs of the learning system, and
identify the knowledge revision activities of a system as a
particular context for such a process. The book presents a detailed
analysis of the revision problem for first-order clausal theories,
and develops a set of postulates that any such operation should
satisfy. It shows how a minimum theory revision operator can be
realized by using exception sets, and that this operator is indeed
maximally general. The book then shows that concept formation can
be triggered from within the knowledge revision process whenever
the existing representation does not permit the plausible
reformulation of an exception set, demonstrating the usefulness of
the approach both theoretically and empirically within the learning
knowledge acquisition system MOBAL. In using a first-order
representation, this book is part of the rapidly developing field
of Inductive Logic Programming (ILP). By integrating the
computational issues with psychological and fundamental discussions
of concept formation phenomena, the book will be of interest to
readers both theoretically and psychologically inclined. From the
foreword by Katharina Morik: The ideal to combine the three sources
of artificial intelligence research has almost never been reached.
Such a combined and integrated research requires the researcher to
master different ways of thinking, different work styles, different
sets of literature, and different research procedures. It requires
capabilities in software engineering for the application part, in
theoretical computer science for the theory part, and in psychology
for the cognitive part. The most important capability for
artificial intelligence is to keep the integrative view and to
create a true original work that goes beyond the collection of
pieces from different fields. This book achieves such an
integrative view of concept formation and knowledge revision by
presenting the way from psychological investigations that indicate
that concepts are theories and point at the important role of a
demand for learning. to an implemented system which supports users
in their tasks when working with a knowledge base and its
theoretical foundation. '
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