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Erschienen in:
2013 | OriginalPaper | Buchkapitel
1. Introduction
verfasst von : Uffe B. Kjærulff, Anders L. Madsen
Erschienen in: Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis
Verlag: Springer New York
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Abstract
The desire to have computers perform intellectually challenging tasks has existed ever since the invention of the general-purpose computer that could be programmed to execute an arbitrary set of manipulations on numbers and symbols. Solving an intellectually challenging task can be characterized as a process of deriving conclusions (new pieces of knowledge) by manipulating a (large) body of knowledge, typically including definitions of entities (objects, concepts, events, phenomena, etc.), relations among them, and observations of states (values) of some of the entities.