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The myth of artificial intelligence : why computers can't think the way we do / Erik J. Larson.

By: Material type: TextTextPublication details: Cambridge, Massachusetts : The Belknap Press of Harvard University Press, [2021]Description: viii, 312 pages ; 22 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780674983519
Subject(s): DDC classification:
  • 006.3 23 La My
LOC classification:
  • Q335 .L37 2021
Contents:
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?
Summary: "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"-- Provided by publisher.
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Holdings
Item type Current library Collection Call number URL Copy number Status Notes Date due Barcode
Books Books Bahrain ITC-ARI Computer Studies 006.3 La My (Browse shelf(Opens below)) Link to resource Available Dr. Hafiz Abid Malik 3000003826
Books Books Bahrain ITC-ARI Computer Studies 006.3 La My (Browse shelf(Opens below)) Link to resource 1 Available Dr. Hafiz Abid Malik 3000003825

Includes bibliographical references (pages 284-299) 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"-- Provided by publisher.

The online book link

https://www.amazon.com/Myth-Artificial-Intelligence-Computers-Think/dp/0674278666/ref=sr_1_1?crid=3EHVXR2V94HWY&keywords=9780674983519&qid=1699172911&s=audible&sprefix=9780674983519%2Caudible%2C485&sr=1-1

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