ARTIFICIAL INTELLIGENCE: A Guide to Intelligent Systems, 4/e

Contents

Chapter 1. Introduction to Intelligent Systems
Chapter 2. Expert Systems
Chapter 3. Fuzzy Systems
Chapter 4. Frame-based Systems and Semantic Networks
Chapter 5. Artificial Neural Networks
Chapter 6. Deep Learning and Convolutional Neural Networks
Chapter 7. Evolutionary Computation
Chapter 8. Hybrid Intelligent Systems
Chapter 9. Knowledge Engineering
Chapter 10. Data Mining and Knowledge Discovery
Features
• A new chapter on deep learning and convolutional neural networks examines different architectures of
convolutional networks and identifies common features of deep neural networks.
• A new section in the chapter 'Frame-based Systems and Semantic Networks' on semantic networks discusses
successful applications of the semantic web like improved data management, enhanced search capabilities,
and superior data integration.
• A new section in the chapter 'Artificial Neural Networks and Machine Learning' introduces the concepts of
model-based and model-free reinforcement learning.