Within the framework of so-called second generation expert systems
[62] knowledge modeling is one of the most important aspects. On
the one hand, knowledge acquisition is no longer seen as a
knowledge transfer process, rather it is now considered as model
construction process which is typically a cyclic and error prone
process. On the other hand, the distinction between knowledge and
symbol level descriptions [166] resulted in various proposals for
conceptual knowledge models describing knowledge in an
implementation independent way. One of the most prominent examples
of such a conceptual model is the KADS model of expertise which is
characterized by its clear distinction of different know ledge
types and by the usage of specific modeling primitives to describe
these different knowledge types [185]. The semi formal KADS
expertise model entails all the advantages and disadvantages which
have been identified for semi-formal system models e.g. in the
software engineering community.
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