Introduction to Artificial Intelligence: Third Edition (Dover Books on Computer Science)

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This updated edition of a comprehensive survey includes extensive new text on “Artificial Intelligence in the 21st Century,” introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI.

Can computers think? Can they use reason to develop their own concepts, solve complex problems, and understand our languages? 
Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises at the end of each chapter. Lucid, easy-to-read discussions examine problem-solving methods and representations, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis, predicate-calculus theorem proving, automatic programming, machine architecture, psychological simulation, novel software techniques, industrial automation, and many other topics.
  COMPREHENSIVE SURVEY – This updated edition includes extensive new text on “Artificial Intelligence in the 21st Century,” introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI.FOR BOTH LAY READERS AND STUDENTS – Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises at the end of each chapter.EASY TO READ – Lucid discussions examine problem-solving methods and representations, game playing, automated understanding of natural languages, heuristic search theory, robot systems, automatic programming, and many more subjects. Other topics include decision-making under uncertainty and knowledge representation.
Philip C. Jackson, Jr. has a Ph.D. for a thesis on artificial intelligence, and has extensive experience in software design and development. He is the founder of TalaMind LLC, conducting research toward human-level artificial intelligence, and author of Toward Human-Level Artificial Intelligence: Representation and Computation of Meaning in Natural Language also published by Dover Publications, Inc.

 

From the Publisher

Ideal for both lay readers and students of computer science

Can computers think? Can they use reason to develop their own concepts, solve complex problems, and understand our languages?

COMPREHENSIVE SURVEY – This updated edition includes extensive new text on “Artificial Intelligence in the 21st Century,” introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI.FOR BOTH LAY READERS AND STUDENTS – Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises at the end of each chapter.EASY TO READ – Lucid discussions examine problem-solving methods and representations, game playing, automated understanding of natural languages, heuristic search theory, robot systems, automatic programming, and many more subjects. Other topics include decision-making under uncertainty and knowledge representation.

The original text features abundant illustrations, diagrams, and photographs as well as challenging exercises at the end of each chapter. Lucid, easy-to-read discussions examine problem-solving methods and representations, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis, predicate-calculus theorem proving, automatic programming, machine architecture, psychological simulation, novel software techniques, industrial automation, and many other topics.

Introduction to Artificial Intelligence

This updated edition of a comprehensive survey includes extensive new text on “Artificial Intelligence in the 21st Century,” introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI.

Publisher ‏ : ‎ Dover Publications; 3rd edition (August 14, 2019)
Language ‏ : ‎ English
Paperback ‏ : ‎ 544 pages
ISBN-10 ‏ : ‎ 0486832864
ISBN-13 ‏ : ‎ 978-0486832869
Item Weight ‏ : ‎ 1.63 pounds
Dimensions ‏ : ‎ 6 x 1.1 x 8.9 inches