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Titlebook: Wissensbasierte Systeme; 3. Internationaler G W. Brauer,C. Freksa Conference proceedings 1989 Springer-Verlag Berlin Heidelberg 1989 Expert

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Connectionism, Knowledge Representation, and Effective Reasoninge must provide a detailed computational account of how such knowledge may be represented and such inferences drawn with requisite efficiency. In this talk we will discuss some work within the connectionist framework that attempts to offer such an account.
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The structure preserving translation of symbolic systems into connectionist networksceptual behaviour, such as high-level vision and high-level speech (syntax, semantics). As a consequence, we should study ways of translating existing knowledge of computational structures into massively parallel systems, in particular into connectionist systems.
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Computation in Cortical Netscan be adapted to different tasks. In the following I want to discuss four structural principles and some general implications which seem important to us. I shall not go into the strategies of combining these principles into processes. The assumptions underlying our interpretations are quite simple:
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