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Κανονική προβολή Προβολή MARC Προβολή ISBD

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

Κατά: Τύπος υλικού: ΚείμενοΚείμενοΛεπτομέρειες δημοσίευσης: Cambridge : The Belknap Press of Harvard University Press, 2021.Περιγραφή: viii, 312 σ. ; 22 εκISBN:
  • 9780674278660
Θέμα(τα): Ταξινόμηση DDC:
  • 006.3 23
Περιεχόμενα:
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?
Περίληψη: "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"
Αντίτυπα
Τύπος τεκμηρίου Τρέχουσα βιβλιοθήκη Ταξιθετικός αριθμός Αριθμός αντιτύπου Κατάσταση Ημερομηνία λήξης Ραβδοκώδικας
Book [21] Book [21] ΒΚΠ - Πατρα Βασική Συλλογή 006.3 LAR (Περιήγηση στο ράφι(Άνοιγμα παρακάτω)) 1 Διαθέσιμο 025000298646

Περιλαμβάνει βιβλιογραφικές παραπομπές (σ. 284-299) και ευρετήριο.

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"

Πανεπιστήμιο Πατρών, Βιβλιοθήκη & Κέντρο Πληροφόρησης, 265 04, Πάτρα
Τηλ: 2610969621, Φόρμα επικοινωνίας
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