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The myth of artificial intelligence why computers can't think the way we do
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| 자료유형 | 단행본 |
|---|---|
| 서명/저자사항 | The myth of artificial intelligence why computers can't think the way we do/ Erik J. Larson. |
| 개인저자 | Larson, Erik J.(Erik John), author. |
| 발행사항 | Cambridge: The Belknap Press of Harvard University Press, 2021. |
| 형태사항 | 1 online resource. |
| 기타형태 저록 | Original 9780674983519 0674983513 |
| ISBN | 9780674259928 0674259920 9780674259935 0674259939 |
| 내용주기 | 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? |
| 요약 | "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"-- |
| 해제 | Provided by publisher. |
| 일반주제명 | Artificial intelligence. Intellect. Inference. Logic. Natural language processing (Computer science) Neurosciences. COMPUTERS / Intelligence (AI) & Semantics. Artificial intelligence. Inference. Intellect. Logic. Natural language processing (Computer science) Neurosciences. |
| 언어 | 영어 |
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