Logic and Approximation in Knowledge Based Systems

We consider approximation oriented and logic oriented representation of knowledge. The main focus is on problems where both representation methods have a natural place, such problem situations occur e.g. in e-commerce. The arising difficulty is that the inference method for both techniques are often not very compatible with each other. We make some suggestions for dealing with such problems. A major point here play the local-global principle and the concept of similarity. In particular, other concepts like utilities, probabilities, fuzzy sets, constraints and logical rules will be put in relation to similarities.

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