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Künstliche Intelligenz für Ingenieure

Methoden zur Lösung ingenieurtechnischer Probleme mit Hilfe von Regeln, logischen Formeln und Bayesnetzen
  • Jan Lunze
Language: German
Published/Copyright: 2016
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De Gruyter Studium
This book is in the series
De Gruyter Studium

About this book

The author provides an extensive introduction to designing and implementing "intelligent systems" using the methods of artificial intelligence combined with proven engineering methods. This third edition enhances, extends, and expands the presentation of the methods, examples, practice exercises, and solutions given in the appendix.

  • Based on 20 years of teaching experience at a number of German universities
  • Containing 194 figures, 60 examples, and 120 practice exercises as well as an introduction to the programming languages LISP and PROLOG

Author / Editor information

Jan Lunze, Ruhr-Universität Bochum.

Reviews

„Die Einführung ist abgerundet und ansprechend."
Prof. Dr. Uli Schell, HS Kaiserslautern

Topics

  • Publicly Available

    Frontmatter

    I
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    Vorwort

    V
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  • Publicly Available

    Inhaltsverzeichnis

    IX
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    Verzeichnis der Anwendungsbeispiele

    XVII
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    Hinweise zum Gebrauch des Buches

    XXIII
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  • Einführung in die Künstliche Intelligenz
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    1. Das Fachgebiet Künstliche Intelligenz

    1
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    2. Einführungsbeispiel

    31
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  • Teil 1: Problemlösen durch Suche
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    3. Graphensuche

    45
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    4. Regelbasierte Wissensverarbeitung

    93
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    5. Wissensverarbeitung mit strukturierten Objekten

    133
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    6. Funktionale Programmierung in LISP

    151
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  • Teil 2: Logikbasierte Wissensverarbeitung
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    7. Aussagenlogik

    185
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    8. Prädikatenlogik

    231
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    9. Logische Programmierung in PROLOG

    267
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  • Teil 3: Verarbeitung unsicheren Wissens
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    10. Nichtmonotones Schließen und ATMS

    305
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    11. Mehrwertige und unscharfe Logik

    355
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    12. Probabilistische Logik und Bayesnetze

    385
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    13. Heuristische Verfahren zur Darstellung und zur Verarbeitung unsicheren Wissens

    449
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    14. Merkmale und technische Anwendungsgebiete der Wissensverarbeitung

    465
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    Literaturverzeichnis

    485
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  • Anhänge
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    Anhang 1: Lösung von Übungsaufgaben

    491
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    Anhang 2: Grundlagen der Wahrscheinlichkeitsrechnung

    521
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    Anhang 3: Aufgaben zur Prüfungsvorbereitung

    527
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    Anhang 4: Projektaufgabe

    531
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    Anhang 5: Fachwörter deutsch – englisch

    535
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    Sachwortverzeichnis

    539
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Publishing information
Pages and Images/Illustrations in book
eBook published on:
January 29, 2016
eBook ISBN:
9783110448979
Hardcover published on:
January 29, 2016
Hardcover ISBN:
9783110448962
Edition:
3rd updated edition
Pages and Images/Illustrations in book
Front matter:
24
Main content:
548
https://doi.org/10.1515/9783110448979
eBook ISBN: 9783110448979
Hardcover ISBN: 9783110448962
Keywords for this book
Artificial intelligence; inference; robotics; automation
Audience(s) for this book
For students of engineering and computer science as well as engineers in practice
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