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Description
This project is a modern introduction to AI suitable for both students and those wishing to gain a practical understanding of AI for use in their work. It describes the background history to AI, clarifies what the goals of AI are, and assesses current technology.
There has been significant growth in real-world applications in recent years, e.g. detection of credit card fraud, building robots for industrial tasks and entertainment, securing networks from hackers, making characters in computer games behave more human like. This book introduces the techniques used in these real-world applications.
All chapters include a range of exercises and suggested project work. Website support and an on-line solutions manual will also be available.
Table of Contents
PART ONE: INTRODUCTION
Introduction
PART TWO: LOGIC AND SEARCH
Logic
Search
Automating Logical Reasoning
PART THREE: UNCERTAINTY
Bayesian Networks I
Bayesian Networks II
Other Approaches to Uncertainty
PART FOUR: DECIDING ON ACTIONS
Decision Networks Planning I
Planning II
PART FIVE: LEARNING
Introduction to Learning
Decision Tree Learning
Inductive Logic Programming
Reinforcement Learning
Neural Networks I
Neural Networks II
Genetic Algorithms
PART SIX: NATURAL LANGUAGE UNDERSTANDING AND PERCEPTION
Natural Language Processing I
Natural Language Processing II
Speech Processing
Vision
PART SEVEN: AGENTS, PHILOSOPHY AND APPLICATIONS
Agents
Philosophy of AI
Some Applications of AI
Appendix A A Quick Tour of Prolog
Bibliography
Index.
Product details
| Published | 08 May 2003 |
|---|---|
| Format | Paperback |
| Edition | 1st |
| Extent | 508 |
| ISBN | 9780333801369 |
| Imprint | Red Globe Press |
| Dimensions | Not specified |
| Publisher | Bloomsbury Publishing |
ONLINE RESOURCES
Bloomsbury Collections
This book is available on Bloomsbury Collections where your library has access.
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