Preface

The importance of Artificial Intelligence cannot be over-emphasized; as a result, Artificial Intelligence occupies a central place in the curricula of Computer Science at both undergraduate and postgraduate levels. At least one or two Artificial Intelligence course(s) must be present in the curricula of Computer Science at both undergraduate and postgraduate levels. At the moment, most universities offer Artificial Intelligence as a Degree programme, leading to Bachelor Degree or Master Degree in Artificial Intelligence. This book covers all the main aspects of Artificial Intelligence, like Expert System, Natural Language Processing, Machine Learning, Machine Learning Applications, Sensory Perceptions (Computer Vision, Tactile Perception), and Robotics. The book focuses on the following areas of computer science as it relates to the specific area of Artificial Intelligence: history, applications, algorithms, and programming with relevant case studies and examples. It adopts a simplified approach so that every beginner can easily understand the contents. It assumes basic knowledge of the Java programming language. It introduces Python programming language and uses it for natural language processing. It also introduces Waikato Environment for Knowledge Analysis, WEKA, as a tool for machine learning. The book is organized into seven main chapters; each chapter is further organized into various units. In all seven chapters, there are thirty-three units.