Artificial Intelligence: Theory and Practice
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. 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.
The text is published by Addison-Wesley. The most
recently compiled errata sheet is available in PDF.
A file containing code, lecture notes, and other supplementary
material is available in zip format.