- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
Artificial Intelligence
About this book
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.
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.
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Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Artificial Intelligence by Rob Callan in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.
Information
Table of contents
- Title Page
- Contents
- Preface
- Part 1: Introduction
- 1 Introduction
- Part 2: Logic and Search
- 2 Logic
- 3 Search
- 4 Automating Logical Reasoning
- Part 3: Uncertainty
- 5 Bayesian Networks I
- 6 Bayesian Networks II
- 7 Other Approaches to Uncertainty
- Part 4: Deciding on Actions
- 8 Decision Networks
- 9 Planning I
- 10 Planning II
- Part 5: Learning
- 11 Introduction to Learning
- 12 Decision Tree Learning
- 13 Inductive Logic Programming
- 14 Reinforcement Learning
- 15 Neural Networks I
- 16 Neural Networks II
- 17 Genetic Algorithms
- Part 6: Natural Language Understanding and Perception
- 18 Natural Language Processing I
- 19 Natural Language Processing II
- 20 Speech Processing
- 21 Vision
- Part 7: Agents, Philosophy and Applications
- 22 Agents
- 23 Philosophy of Artificial Intelligence
- 24 Some Applications of Artificial Intelligence
- Appendix A: A Quick Tour of Prolog
- Bibliography
- Index
- eCopyright