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Issues and Applications of Case-Based Reasoning to Design (Paperback)
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Issues and Applications of Case-Based Reasoning to Design (Paperback)
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Design is believed to be one of the most interesting and
challenging problem-solving activities ever facing artificial
intelligence (AI) researchers. Knowledge-based systems using
rule-based and model-based reasoning techniques have been applied
to build design automation and/or design decision support systems.
Although such systems have met with some success, difficulties have
been encountered in terms of formalizing such generalized design
experiences as rules, logic, and domain models. Recently,
researchers have been exploring the idea of using case-based
reasoning (CBR) techniques to complement or replace other
approaches to design support. CBR can be considered as an
alternative to paradigms such as rule-based and model-based
reasoning. Rule-based expert systems capture knowledge in the form
of if-then rules which are usually identified by a domain expert.
Model-based reasoning aims at formulating knowledge in the form of
principles to cover the various aspects of a problem domain. These
principles, which are more general than if-then rules, comprise a
model which an expert system may use to solve problems. Model-based
reasoning (MBR) is sometimes called reasoning from first
principles. Instead of generalizing knowledge into rules or models,
CBR is an experience-based method. Thus, specific cases,
corresponding to prior problem-solving experiences, comprise the
main knowledge sources in a CBR system. This volume includes a
collection of chapters that describe specific projects in which
case-based reasoning is the focus for the representation and
reasoning in a particular design domain. The chapters provide a
broad spectrum of applications and issues in applying and extending
the concept of CBR to design. Each chapter provides its own
introduction to CBR concepts and principles.
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