Artificial Intelligence Illuminated
Jones & Bartlett Learning, 2004 - 739 Seiten
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 AI techniques, algorithms, and methodologies, including game playing, 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 AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining 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.
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Introduction to Artificial Intelligence
Uses and Limitations
Knowledge Representation and Automated
Inference and Resolution for Problem Solving
able actions agents analysis applied approach Artificial Intelligence block calculate called carried Chapter chromosome classifier clauses clearly complex consider consists contains defined described determine developed discussed edge examine example expert system Explain expression fact false Figure fitness frame function fuzzy genetic algorithms give given goal graph Hence heuristic human idea important input Introduction involves knowledge known language layer learning logic look match means method move natural neural networks neurons node Note object operator output particular path planning play position possible Press probability problem produce propositional prove reasoning represent representation result robot rules search method search tree sentence shown in Figure shows simple situation solution solve space step tion training data tree true usually variables weights