By Lorenza Saitta,Jean-Daniel Zucker
This ebook first presents the reader with an outline of the notions of abstraction proposed in quite a few disciplines by means of evaluating either commonalities and differences. After discussing the characterizing houses of abstraction, a proper version, the KRA model, is gifted to trap them. This version makes the thought of abstraction simply acceptable via the creation of a collection of abstraction operators and abstraction styles, reusable throughout varied domain names and functions.
It is the effect of abstraction in synthetic Intelligence, complicated platforms and desktop studying which creates the center of the book. A normal framework, in keeping with the KRA model, is gifted, and its pragmatic strength is illustrated with 3 case reviews: Model-based analysis, Cartographic Generalization, and studying Hierarchical Hidden Markov Models.
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