About this book
This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories:
- Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5.
- Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are discussed in Chapters~6 through 11.
- Integrating Reasoning and Learning: Chapters~11 and 12 discuss techniques for integrating reasoning and learning. Examples include the use of knowledge graphs and neuro-symbolic artificial intelligence.
The primary audience for this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics requirements for an undergraduate data science course. Professionals working in this related field many also find this textbook useful as a reference.
Table of contents (14 chapters)
1. Front Matter
Pages i-xx
2. An Introduction to Artificial Intelligence
- Charu C. Aggarwal
Pages 1-34
3. Searching State Spaces
- Charu C. Aggarwal
Pages 35-70
4. Multiagent Search
- Charu C. Aggarwal
Pages 71-103
5. Propositional Logic
- Charu C. Aggarwal
Pages 105-135
6. First-Order Logic
- Charu C. Aggarwal
Pages 137-166
7. Machine Learning: The Inductive View
- Charu C. Aggarwal
Pages 167-210
8. Neural Networks
- Charu C. Aggarwal
Pages 211-251
9. Domain-Specific Neural Architectures
- Charu C. Aggarwal
Pages 253-298
10. Unsupervised Learning
- Charu C. Aggarwal
Pages 299-342
11. Reinforcement Learning
- Charu C. Aggarwal
Pages 343-384
12. Probabilistic Graphical Models
- Charu C. Aggarwal
Pages 385-408
13. Knowledge Graphs
- Charu C. Aggarwal
Pages 409-435
14. Integrating Reasoning and Learning
- Charu C. Aggarwal
Pages 437-466
15. Correction to: Artificial Intelligence
- Charu C. Aggarwal
Pages C1-C1
16. Back Matter
Pages 467-483
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