Books by Subject

Artificial Intelligence

Creative Evolutionary Systems
by Peter J. Bentley (Editor), David W. Corne, (Editor)
Hardcover - 460 pages Book & CD-Rom 1st edition (July 1, 2001)
Morgan Kaufmann Publishers; ISBN: 1558606734 ; Dimensions (in inches): 1.35 x 9.54 x 7.70

Editorial Reviews
Book Description
The use of evolution for creative problem solving is one of the most exciting and potentially significant areas in computer science today. Evolutionary computation is a way of solving problems, or generating designs, using mechanisms derived from natural evolution. This book concentrates on applying important ideas in evolutionary computation to creative areas, such as art, music, architecture, and design. It shows how human interaction, new representations, and approaches such as open-ended evolution can extend the capabilities of evolutionary computation from optimization of existing solutions to innovation and the generation of entirely new and original solutions.

This book takes a fresh look at creativity, exploring what it is and how the actions of evolution can resemble it. Examples of novel evolved solutions are presented in a variety of creative disciplines. The editors have compiled contributions by leading researchers in each discipline.

If you are a savvy and curious computing professional, a computer-literate artist, musician or designer, or a specialist in evolutionary computation and its applications, you will find this a fascinating survey of the most interesting work being done in the area today.

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Artificial Intelligence
by Patrick Henry Winston
Hardcover - 737 pages 3rd edition (March 1992)
Addison-Wesley Pub Co; ISBN: 0201533774 ; Dimensions (in inches): 1.37 x 9.53 x 7.77
Other Editions: Paperback
Review by:
This book is one of the oldest and most popular introductions to artificial intelligence. An accomplished artificial intelligence (AI) scientist, Winston heads MIT's Artificial Intelligence Laboratory, and his hands-on AI research experience lends authority to what he writes. Winston provides detailed pseudo-code for most of the algorithms discussed, so you will be able to implement and test the algorithms immediately. The book contains exercises to test your knowledge of the subject and helpful introductions and summaries to guide you through the material.
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Artificial Intelligence: A Modern Approach
by Stuart J. Russell, Peter Norvig
Textbook Binding - 912 pages 1 edition (December 13, 1994)
Prentice Hall; ISBN: 0131038052 ; Dimensions (in inches): 1.54 x 9.55 x 7.80
Review by:
Artificial Intelligence: A Modern Approach introduces basic ideas in artificial intelligence from the perspective of building intelligent agents, which the authors define as "anything that can be viewed as perceiving its environment through sensors and acting upon the environment through effectors." This textbook is up-to-date and is organized using the latest principles of good textbook design. It includes historical notes at the end of every chapter, exercises, margin notes, a bibliography, and a competent index. Artificial Intelligence: A Modern Approach covers a wide array of material, including first-order logic, game playing, knowledge representation, planning, and reinforcement learning.
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Artificial Intelligence : Theory and Practice
by Thomas Dean, James Allen, Yiannis Aloimonos

Hardcover - 650 pages (January 1995)
Addison-Wesley Pub Co; ISBN: 0805325476 ; Dimensions (in inches): 1.07 x 9.44 x 7.77

Editorial Reviews
From the Back Cover
Emphasize both scientific theory and practical applications with Artifical Intelligence: Theory and Practice, a new text by Thomas Dean with James Allen and Yiannis Aloimonos. This modern, balanced introduction to artificial intelligence examines both the representational and computational issues that arise in developing systems capable of machine intelligence. The authors discuss these issues in terms of their syntax, semantics, and computation and offer detailed coverage of both traditional symbolic reasoning techniques and alternative techniques such as neural networks, probabilistic reasoning, and image processing. In addition, they emphasize the role of experimental computer science by showing the practical implementation of algorithms by first using pseudocode and then LISP code.

To ensure that readers fully understand the topic and its applications, the authors provide motivating examples throughout. AI in Practice boxes appear in each chapter, demonstrating real-world uses of artificial intelligence by NASA, General Motors Corporation, Microsoft Corporation, and other companies. LISP Implementation appendices are found at the end of most chapters, providing fully-documented implementations of important algorithms (also available in Scheme and C++ implementations via ftp). These are carefully coordinated with the discussions in the chapters making it easy for students to complete computational experiments. Plus, the text features summaries, exercises, and background sections describing related work at the end of each chapter.
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Operations Research and Artificial Intelligence: The Integration of Problem-Solving Strategies.

By Donald E. Brown & Chelsea C. White

Kluwer Academic Publications, Dec. 1990
ISBN: 0792391063

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