Developing Games That Learn (Book/Disk)

Overview

Now it's possible to improve a program's performance by getting it to learn from its mistakes. This practical book, and the companion program disk, present a high-level programming paradigm, "Objective Artificial Intelligence," that is used to devise algorithms which enable a program to learn. Presents three algorithms which can be modified to implement learning in many programs, and utilizes sample game programs to clearly demonstrate how these algorithms implement single trial learning. The program disk ...
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Overview

Now it's possible to improve a program's performance by getting it to learn from its mistakes. This practical book, and the companion program disk, present a high-level programming paradigm, "Objective Artificial Intelligence," that is used to devise algorithms which enable a program to learn. Presents three algorithms which can be modified to implement learning in many programs, and utilizes sample game programs to clearly demonstrate how these algorithms implement single trial learning. The program disk contains the complete C source code for the demonstration programs. For programming project managers, programmers, game designers, and game programmers.
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Editorial Reviews

Booknews
A book/disk package showing how to implement single-trial learning, using the games Tic Tac Toe and Drop Four as illustrations. Presents source code for the learning algorithms, and discusses ways to use them in software design, especially in computer game development, explaining the objective artificial intelligence paradigm. The companion disk contains demonstration programs. For programmers, project leaders, and game designers. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780135696170
  • Publisher: Prentice Hall Professional Technical Reference
  • Publication date: 3/13/1996
  • Edition description: Book and Disk
  • Edition number: 1
  • Pages: 280
  • Product dimensions: 7.05 (w) x 9.02 (h) x 0.78 (d)

Table of Contents

Dedications
About the authors
Introduction
1 What is objective artificial intelligence? 1
2 Case study - Tic Tac Toe 13
3 Drop Four case study overview and analysis 49
4 OAI design of Drop Four 61
5 Drop Four's DOS platform move selection 73
6 Drop Four program instinct: Basic concepts mediating move generation 101
7 Drop Four program instinct: Move decision scheme 115
8 Drop Four program instinct: Ply searching 145
9 Drop Four program instinct: Primitive pattern-matching 165
10 Drop Four program instinct: Advanced positional move generation 201
11 Drop Four program learning: Analyzing a loss 229
12 Drop Four program learning: Implementation 253
13 Transferring the program subconscious to and from disk and RAM 269
Epilogue 275
Index 277
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