Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today's society and potential for the future. The book covers a range of Al techniques, algorithms, and methodologies, including game theory, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how Al techniques relate to and are derived from natural system, such as the human brain and evolution, and how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text.

Key Featuros

The most current text available, this book includes material on the latest methodologies and applications, illustrated with modern examples and problems.

Presents material in a clear, student-friendly manner. The book relates key concepts to real-world processes and methods, and explains relationships between Al techniques and mechanisms in nature or in the human brain.

Explores how Artificial Intelligence is applied in the real world, and gives pertinent and interesting examples to enable students to relate more readily to the material. For example, in the chapter on game playing, the book includes information about recent progress in chess-playing computers and the latest score between humans and computers in this field.

Illustrated with pseudocode examples, and sample code given in LISP or PROLOG. To help make the algorithms more accessible to today's students, code examples are also provided in C++ where practical. In all cases, no more than a basic knowledge of specific programming languages is assumed, but rather an understanding of the kinds of techniques used in programming languages. Longer code samples will be clarified with comments.

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