Introduction to Artificial Intelligence

Introduction to Artificial Intelligence by Mariusz Flasiński.

In the chapters in Part I of this textbook the author introduces the fundamental ideas of artificial intelligence and computational intelligence. In Part II he explains key AI methods such as search, evolutionary computing, logic-based reasoning, knowledge representation, rule-based systems, pattern...

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Bibliographic Details
Main Author: Flasiński, Mariusz (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Computational intelligence.
Data mining.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • History of Artificial Intelligence
  • Symbolic Artificial Intelligence
  • Computational Intelligence
  • Search Methods
  • Evolutionary Computing
  • Logic-Based Reasoning
  • Structural Models of Knowledge Representation
  • Syntactic Pattern Analysis
  • Rule-Based Systems
  • Pattern Recognition and Cluster Analysis
  • Neural Networks
  • Reasoning with Imperfect Knowledge
  • Defining Vague Notions in Knowledge-Based Systems
  • Cognitive Architectures
  • Theories of Intelligence in Philosophy and Psychology
  • Application Areas of AI Systems
  • Prospects of Artificial Intelligence. .

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