Includes bibliographical references and index.

Introduction to Artificial Intelligence
Propositional Logic
AI-Based Modelling
Swarm Intelligence
Understanding the Nonstarter Applications
Improving AI with Deep Learning
Applications of AI in Transport
Future of Artificial Intelligence

The primary objective of Artificial Intelligence (AI) research are to understand intelligence and develop intelligent systems. However, the procedures and formalisms utilized to achieve this objective are not firmly established. Consequently, artificial intelligence (AI) today comprises various subdisciplines. The challenge of teaching an introductory course in AI rests in doing it in a way that covers as many subfields as feasible without sacrificing too much breadth or depth.
This book can be used as an introductory book on artificial intelligence for advanced undergraduate or graduate students n computer science or allied subjects such as computer engineering, philosophy, cognitive science, or psychology. It will appeal to the technically savvy; parts are technically demanding, emphasizing learning by doing: designing, constructing, and implementing systems. The book will be beneficial to any inquiring, scientifically inclined reader. Prior expertise with computing systems is preferred, but the previous study of the foundations we build, such as logic, probability, calculus, and control theory, is not essential because the concepts are developed as needed.

College of Engineering and Computer Studies Bachelor of Science in Information Technology

In English