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The myth of artificial intelligence : why computers can't think the way we do /
"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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Massachusetts :
The Belknap Press of Harvard University Press,
2021.
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Larson, Erik J. |q (Erik John), |e author. | |
| 245 | 1 | 4 | |a The myth of artificial intelligence : |b why computers can't think the way we do / |c Erik J. Larson. |
| 264 | 1 | |a Cambridge, Massachusetts : |b The Belknap Press of Harvard University Press, |c 2021. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a 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? | |
| 520 | |a "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"-- |c Provided by publisher. | ||
| 588 | 0 | |a Online resource; title from PDF title page (ProQuest Ebook Central, viewed October 14, 2021). | |
| 590 | |a JSTOR |b Books at JSTOR Demand Driven Acquisitions (DDA) | ||
| 590 | |a JSTOR |b Books at JSTOR All Purchased | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Intellect. | |
| 650 | 0 | |a Inference. | |
| 650 | 0 | |a Logic. | |
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Neurosciences. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 6 | |a Intelligence. | |
| 650 | 6 | |a Inférence (Logique) | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Neurosciences. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a COMPUTERS / Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Artificial intelligence |2 fast | |
| 650 | 7 | |a Inference |2 fast | |
| 650 | 7 | |a Intellect |2 fast | |
| 650 | 7 | |a Logic |2 fast | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 650 | 7 | |a Neurosciences |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Larson, Erik J. (Erik John). |t Myth of artificial intelligence. |d Cambridge, Massachusetts : The Belknap Press of Harvard University Press, 2021 |z 9780674983519 |w (DLC) 2020050249 |w (OCoLC)1198017706 |
| 856 | 4 | 0 | |u https://jstor.uam.elogim.com/stable/10.2307/j.ctv322v43j |z Texto completo |
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