Fundamentals of Artificial Intelligence

Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retri...

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Bibliographic Details
Main Author: Chowdhary, K.R.
Format: eBook
Published: New Delhi Springer India 2020, 2020
Edition:1st ed. 2020
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introducing Artificial Intelligence
  • Logic and Reasoning Patterns
  • First Order Predicate Logic
  • Rule Based Reasoning
  • Logic Programming and Prolog
  • Real-world Knowledge Representation
  • Networks-based Representation
  • State Space Search
  • Heuristic Search
  • Constraint Satisfaction Problems
  • Adversarial Search and Game Theory
  • Reasoning in Uncertain Environments
  • Machine Learning
  • Statistical Learning Theory
  • Automated Planning
  • Intelligent Agents
  • Data Mining
  • Information Retrieval
  • Natural Language Processing
  • Automatic Speech Recognition
  • Machine Vision