• Title Computers and Thought: A Practical Introduction to Artificial Intelligence
• Author(s) Mike Sharples, David Hogg, Steve Torrance, David Young, Chris Hutchinson
• Publisher: A Bradford Book (October 20, 1989)
• Hardcover 401 pages
• eBook HTML
• Language: English
• ISBN-10: 0521519004
• ISBN-13: 978-0521519007
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Book Description

Computers and Thought provides a unified, self-contained introduction to artificial intelligence for readers with little or no computing background. It presents an original extended AI programming project - the Automated Tourist Guide exercise throughout the main chapters of the text to illustrate the material covered and show how AI actually works. Most chapters illustrate a particular AI topic, with sections on the background to the topic, methods, applications, and the limitations of previous proposals.

In addition, there are end of chapter summaries and graded exercises, suggested readings, a glossary, and an appendix on programming.Computers and Thought details the theory and issues involved in AI and covers computer simulation of human activities, such as problem solving and natural language understanding, and computer vision. Its investigation of AI is usefully extended to models of cognition, the nature of mind and intelligence, and the social implications of AI and cognitive science.

The computer language is POP-11, an easy to learn language that can be used interactively, like LISP, and that has an appearance similar to PASCAL. It is not necessary to run the illustrative POP-11 programs on a computer, since a feature of the language is the ease with which it can be understood from the printed page.

• David Poole is a Professor of Computer Science at the University of British Columbia. He is known for his research on abductive and default reasoning, probabilistic inference, and relational probabilistic models, and he has recently been working on semantic science, combining ontologies, data, and rich probabilistic theories.
• Alan Mackworth is a Professor of Computer Science and Canada Research Chair in Artificial Intelligence at the University of British Columbia. He is known for his research on constraint-based systems and agents, hybrid systems, and robot soccer.

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• Artificial Intelligence, Machine Learning, and Logic Programming
• Machine Learning
• Neural Networks
• Operations Research (OR), Linear Programming, Optimization, and Approximation
• Algorithms and Data Structures

• Computers and Thought: A Practical Introduction to Artificial Intelligence (Mike Sharples, et al)

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