Demystifying Artificial Intelligence Symbolic, Data-Driven, Statistical and Ethical AI.
This book is intended for business professionals that want to understand the fundamental concepts of Artificial Intelligence, their applications and limitations. Built as a collaborative effort between academia and the industry, this book bridges the gap between theory and business application, demy...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Berlin/Boston :
Walter de Gruyter GmbH,
2024.
|
| Series: | De Gruyter STEM Series.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Intro
- Acknowledgment
- Contents
- List of chapter authors
- 1 Preface and introduction
- 2 A holistic view of AI techniques, their limitations and complementarities
- 3 Solve problems by searching, including with constraints, a fundamental pillar
- 4 Reasoning with first-order logic
- 5 Knowledge representation and engineering with ontologies
- 6 Probabilistic reasoning: When the environment is uncertain
- 7 Learning from data
- 8 Between language and knowledge
- 9 Some words about ethics. The angles of fairness and transparency
- 10 Industry examples where different AI techniques are combined
- 11 Conclusion
- Moving forward
- Trademarks
- Index