The myth of artificial intelligence : why computers can't think the way we do / Erik J. Larson.
By: Larson, Erik J. (Erik John) [author.].
Publisher: Cambridge, Massachusetts : The Belknap Press of Harvard University Press, ©2021Description: 312 p.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780674983519.Subject(s): Artificial intelligence | Intellect | Inference | Logic | Natural language processing (Computer science) | NeurosciencesGenre/Form: Print books.Current location | Call number | Status | Date due | Barcode | Item holds |
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On Shelf | Q335 .L37 2021 (Browse shelf) | Available | AU00000000018169 |
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Q335 .K364 2015 Humans need not apply : a guide to wealth and work in the age of artificial intelligence / | Q335 .K565 2021 The age of AI : and our human future / | Q335 .K88 2000 The age of spiritual machines : when computers exceed human intelligence / | Q335 .L37 2021 The myth of artificial intelligence : why computers can't think the way we do / | Q335 .L423 2021 AI 2041 / | Q335 .L5 2020 Artificial intelligence revolution : how AI will change our society, economy, and culture / | Q335 .L83 2016 Artificial intelligence in the 21st century : a living introduction / |
Includes bibliographical references and index.
Part One. The simplified world: The intelligence errors -- Turing at Bletchley -- The superintelligence error -- The singularity, then and now -- Natural language understanding -- AI as technological kitsch -- Simplifications and mysteries -- Part Two. The problem of inference: Don't calculate, analyze -- The puzzle of Peirce (and Peirce's Puzzle) -- Problems with deduction and induction -- Machine learning and big data -- Abductive inference -- Inference and language I -- Inference and language II -- Part Three. The future of the myth: Myths and heroes -- AI mythology invades neuroscience -- Neocortical theories of human intelligence -- The end of science?
"Futurists are certain that humanlike AI is on the horizon, but in fact engineers have no idea how to program human reasoning. AI reasons from statistical correlations across data sets, while common sense is based heavily on conjecture. Erik Larson argues that hyping existing methods will only hold us back from developing truly humanlike AI"--