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Books > Computing & IT > Applications of computing > Artificial intelligence
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Inside Case-Based Explanation (Paperback)
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Inside Case-Based Explanation (Paperback)
Series: Artificial Intelligence Series
Expected to ship within 10 - 15 working days
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This book is the third volume in a series that provides a hands-on
perspective on the evolving theories associated with Roger Schank
and his students. The primary focus of this volume is on
constructing explanations. All of the chapters relate to the
problem of building computer programs that can develop hypotheses
about what might have caused an observed event. Because most
researchers in natural language processing don't really want to
work on inference, memory, and learning issues, most of their
sample text fragments are chosen carefully to de-emphasize the need
for non text-related reasoning.
The ability to come up with hypotheses about what is really going
on in a story is a hallmark of human intelligence. The biggest
difference between truly intelligent readers and less intelligent
ones is the extent to which the reader can go beyond merely
understanding the explicit statements being communicated. Achieving
a creative level of understanding means developing hypotheses about
questions for which there may be no conclusively correct answer at
all. The focus of the lab, during the period documented in this
book, was to work on getting a computer program to do that.
The volume adopts a case-based approach to the construction of
explanations which suggests that the main steps in the process of
explaining a given anomaly are as follows:
* Retrieve an explanation that might be relevant to the anomaly.
* Evaluate whether the retrieved explanation makes sense when
applied to the current anomaly.
* Adapt the explanation to produce a new variant that fits better
if the retrieved explanation doesn't fit the anomaly
perfectly.
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