Document (#36623)

Author

Beierle, C.
Kern-Isberner, G.

Title

Methoden wissensbasierter Systeme : Grundlagen, Algorithmen, Anwendungen

Issue

4., verb. Aufl.

Imprint

Wiesbaden : Vieweg + Teubner

Year

2008

Pages

XVIII, 495 S

Isbn

978-3-8348-0504-1

Series

Studium: Computational intelligence

Abstract

Dieses Buch präsentiert ein breites Spektrum aktueller Methoden zur Repräsentation und Verarbeitung (un)sicheren Wissens in maschinellen Systemen in didaktisch aufbereiteter Form. Neben symbolischen Ansätzen des nichtmonotonen Schließens (Default-Logik, hier konstruktiv und leicht verständlich mittels sog. Default-Bäume realisiert) werden auch ausführlich quantitative Methoden wie z.B. probabilistische Markov- und Bayes-Netze vorgestellt. Weitere Abschnitte beschäftigen sich mit Wissensdynamik (Truth Maintenance-Systeme), Aktionen und Planen, maschinellem Lernen, Data Mining und fallbasiertem Schließen.In einem vertieften Querschnitt werden zentrale alternative Ansätze einer logikbasierten Wissensmodellierung ausführlich behandelt. Detailliert beschriebene Algorithmen geben dem Praktiker nützliche Hinweise zur Anwendung der vorgestellten Ansätze an die Hand, während fundiertes Hintergrundwissen ein tieferes Verständnis für die Besonderheiten der einzelnen Methoden vermittelt . Mit einer weitgehend vollständigen Darstellung des Stoffes und zahlreichen, in den Text integrierten Aufgaben ist das Buch für ein Selbststudium konzipiert, eignet sich aber gleichermaßen für eine entsprechende Vorlesung. Im Online-Service zu diesem Buch werden u.a. ausführliche Lösungshinweise zu allen Aufgaben des Buches angeboten.Zahlreiche Beispiele mit medizinischem, biologischem, wirtschaftlichem und technischem Hintergrund illustrieren konkrete Anwendungsszenarien. Von namhaften Professoren empfohlen: State-of-the-Art bietet das Buch zu diesem klassischen Bereich der Informatik. Die wesentlichen Methoden wissensbasierter Systeme werden verständlich und anschaulich dargestellt. Repräsentation und Verarbeitung sicheren und unsicheren Wissens in maschinellen Systemen stehen dabei im Mittelpunkt. In der vierten, verbesserten Auflage wurde die Anzahl der motivierenden Selbsttestaufgaben mit aktuellem Praxisbezug nochmals erweitert. Ein Online-Service mit ausführlichen Musterlösungen erleichtert das Lernen.

Content

Ausgabe als E-Book: http://dx.doi.org/10.1007/978-3-8348-9517-2.

Theme

Wissensrepräsentation

Field

Informatik

LCSH

Computer science
Information theory
Telecommunication
Engineering

RSWK

Wissensbasiertes System / Lehrbuch

BK

54.72 / Künstliche Intelligenz

DDC

006.33 / DDC22ger

GHBS

TVU (FH GE)

RVK

ST 302
ST 304
QP 345

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