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ICIIP 2004, Beijing, Invited Talk INTEGRATING CASE-SPECIFIC EXPERIENCES WITH
 

Summary: ICIIP 2004, Beijing, Invited Talk
INTEGRATING CASE-SPECIFIC EXPERIENCES WITH
GENERAL DOMAIN KNOWLEDGE FOR INTELLIGENT
INFORMATION PROCESSING
Agnar Aamodt
Department of Computer and Information Science, Norwegian University of Science and Technology, Sem Sælands vei
7-9, N-7491, Trondheim, Norway +47 7359 7410. agnar@idi.ntnu.no
Abstract: As single-paradigm reasoning methods become more mature and understood, research activities
targeted at combining them become more frequent. Methods that combine case-based reasoning with a
model-based component are attracting a growing number of researchers within the case-based
reasoning community. There is clear evidence of synergy effects, in that the resulting systems become
both more competent and more efficient than if only a single reasoning method is used. The catch is
that the burden on the knowledge engineer and domain expert is increased, due to the need for
developing an explicit model of general domain knowledge. Methods developed within the knowledge-
acquisition and modelling communities, however, as well as work on reusable ontologies, can provide
some help. In particular, the notion of knowledge-level modelling has proved to be a useful one in this
context. The type of application targeted in our research is decision making in complex environments,
such as oil well drilling. Building application systems in such domains further calls for a clarification of
basic terms such as "data", "information", and "knowledge", related to their roles in cognitive and
computational information processing. For case-based reasoning this becomes particularly relevant,

  

Source: Aamodt, Agnar - Department of Computer and Information Science, Norwegian University of Science and Technology

 

Collections: Computer Technologies and Information Sciences