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Can computers think? Can they use reason to develop their own concepts, solve complex problems, understand our languages? 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. Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises. 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, and many other topics.… (más)
Información procedente del conocimiento común inglés.Edita para encontrar en tu idioma.
This book is dedicated to My Parents.
Primeras palabras
Información procedente del conocimiento común inglés.Edita para encontrar en tu idioma.
Preface (1985) -- Are we intelligent enough to understand intelligence? One approach to answering this question is "artificial intelligence," the field of computer science that studies how machines can be made to act intelligently. This book is meant to be a general introduction to artificial intelligence (AI).
Citas
Últimas palabras
Información procedente del conocimiento común inglés.Edita para encontrar en tu idioma.
Even if all these advances should occur, there will still be work for people to do, and people will still be able to feel pain or be unhappy. There will, however, be more time for people to do other things than work, and less cause for them to suffer needlessly. So, the harvest of artificial intelligence may be for the good of humanity.
Can computers think? Can they use reason to develop their own concepts, solve complex problems, understand our languages? 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. Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises. 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, and many other topics.