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Original Essays | November 9, 2009

Jesse Bullington: IMG Abash'd the Devil Stood

0 comments By Jesse Bullington

I don't believe in evil. It's a word I use, certainly, because words are shortcuts and we all take the short way round from time to time, but that's... Continue »
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11 Remote Warehouse Computers Reference- General

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Other titles in the Essence of Computing series:

  1. Essence of Discrete Mathematics (97 Edition)
  2. The Essence of Human-Computer Interaction
  3. The Essence of Program Design

The Essence of Artificial Intelligence (Essence of Computing)

by Alison Cawsey

The Essence of Artificial Intelligence (Essence of Computing) Cover

Synopses & Reviews

Publisher Comments:

The Prentice Hall Essence of Computing Series provides a concise, practical and uniform introduction to the core components of an undergraduate computer science degree. Acknowledging the recent changes within Higher Education, this approach uses a variety of pedagogical tools - case studies, worked examples and self-test questions, to underpin the student's learning.

The Essence of Artificial Intelligence provides a concise and accessible introduction to the topic for students with no prior knowledge of AI.

Taking a pragmatic approach to the subject, this book de-mystifies and makes AI concrete and transparent. Examples and Algorithms are given throughout and can be sensibly implemented in a range of different languages. Offering a less formal/mathematical treatment of the subject than many of its competitors, The Essence of AI provides an overview of all the key subjects covered in one semester.

Synopsis:

Using a variety of pedagogical tools, including case studies, worked examples and self-test questions, this work offers an introduction to the core components of an undergraduate computer science degree.

Synopsis:

A concise, practical introduction to artificial intelligence, this title starts with the fundamentals of knowledge representation, inference, expert systems, natural language processing, machine learning, neural networks, agents, robots, and much more. Examples and algorithms are presented throughout, and the book includes a complete glossary.

Description:

Includes bibliographical references (p. 184-185) and index.
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Table of Contents

1. Introduction

2. Knowledge Representation and Inference

3. Expert Systems

4. Using Search in Problem Solving

5. Natural Language Processing

6. Vision

7. Machine Learning and Neural Networks

8. Agents and Robots

Appendices

AI resources on the web

Glossary

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Product Details

ISBN:
9780135717790
Author:
Cawsey, Alison
Publisher:
Prentice Hall PTR
Location:
London ;
Subject:
Expert Systems
Subject:
Expert systems (computer science)
Subject:
Artificial Intelligence
Subject:
Artificial Intelligence - General
Subject:
Intelligence (AI) & Semantics
Copyright:
1997
Edition Description:
Trade paper
Series:
The essence of computing series
Series Volume:
1137
Publication Date:
November 1997
Binding:
Paperback
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Yes
Pages:
200
Dimensions:
9.15x6.16x.39 in. .68 lbs.
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