Beginning Artificial Intelligence with the Raspberry Pi

Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more!

AI in action will be demonstrated using the Python language on the Raspberry Pi.  The Prolog language will also be introduced and used to demonstrate fundamental AI concepts.  In addition, the Wolfram language will be used as part of the deep machine learning demonstrations.

A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few sensors and actuators will be required. Beginners and hobbyists can jump right in to creating AI projects with the Raspberry PI using this book.

What You’ll Learn

• What AI is and―as importantly―what it is not
• Inference and expert systems
• Machine learning both shallow and deep
• Fuzzy logic and how to apply to an actual control system
• When AI might be appropriate to include in a system
• Constraints and limitations of the Raspberry Pi AI implementation

Who This Book Is For

Hobbyists, makers, engineers involved in designing autonomous systems and wanting to gain an education in fundamental AI concepts, and non-technical readers who want to understand what AI is and how it might affect their lives.

Table of Contents

Chapter 1: Introduction to Artificial Intelligence
Chapter 2: Basic AI Concepts
Chapter 3: Expert System Demonstrations
Chapter 4: Games
Chapter 5: Fuzzy Logic System
Chapter 6: Machine Learning
Chapter 7: Machine Learning: Artificial Neural Networks
Chapter 8: Machine Learning: Deep Learning
Chapter 9: Machine Learning: Practical ANN Demonstrations
Chapter 10: Evolutionary Computing
Chapter 11: Behavior-Based Robotics
Appendix A: Build Instructions for the Alfie Robot Car