ISBN:
9783111426143
Language:
English
Pages:
1 Online-Ressource (476 p.)
Series Statement:
De Gruyter STEM Series
Parallel Title:
Erscheint auch als Gillain, Emmanuel Demystifying Artificial Intelligence
DDC:
006.3
Keywords:
COMPUTERS / Intelligence (AI) & Semantics
;
Machine Learning, Natural Language Processing, Neural Networks, Logic Reasoning
Abstract:
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, demystifying AI through fundamental concepts and industry examples. The reader will find here an overview of the different AI techniques to search, plan, reason, learn, adapt, understand and interact. The book covers the two traditional paradigms in AI: the statistical and data-driven AI systems, which learn and perform by ingesting millions of data points into machine learning algorithms, and the consciously modelled AI systems, known as symbolic AI systems, which use explicit symbols to represent the world and make conclusions. Rather than opposing those two paradigms, the book will also show how those different fields can complement each other. All royalties go to a charity. "Demystifying AI reveals its true power: not as a mysterious force, but as a tool for human progress, accessible to all who seek to understand it." Dr. Barak Chizi, Chief Data & Analytics Officer, KBC Group
Description / 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
Description / Table of Contents:
10 Industry examples where different AI techniques are combined -- 11 Conclusion -- Moving forward -- Trademarks -- Index
Note:
Description based upon print version of record
