Practical Artificial Intelligence Programming in Java

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  • Author: Mark Watson
  • Format: archived PDF and example code
  • Price: free

This Open Content book covers AI programming techniques using Java.
The latest version has a completed new chapter on statistical natural language processing and a new section on embedded expert systems, and a new chapter on spam detection.
This is not the original book written for Morgan Kaufman Publishers. This book contains all new material.
Chapters include:

  • Search – graph search, and alpha-beta search in tic-tac-toe and chess
  • Natural Language Processing – a simple ATN parser that uses a huge lexicon derived from Wordnet data, material NLBean project, and an embedded Prolog parser (includes Sieuwert van Otterloo’s fine Prolog implementation in Java).
  • Expert systems – two simple examples using the Jess system
  • Genetic algorithms – Java utility classes and two examples
  • Neural Networks – utility classes for Hopfield and back propagation. Only includes simple examples to show how to use the utility classes.
  • Statistical Natural Language Processing (Markov Models)
  • SPAM Email detection

Download book here

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