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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Larson, Erik J. (Erik John) (συγγραφέας)
Μορφή: Βιβλίο
Γλώσσα:English
Έκδοση: Cambridge : The Belknap Press of Harvard University Press, 2021.
Θέματα:
LEADER 02355cam a2200289 i 4500
001 21809870
003 GR-PaULI
005 20230719110042.0
008 201110s2021 mau 001 0 eng
020 |a 9780674278660  |q χαρτόδετο 
040 |a MH/DLC  |b eng  |e AACR2  |c GR-PaULI 
082 0 4 |a 006.3  |2 23 
100 1 |a Larson, Erik J.  |q (Erik John)  |e συγγραφέας  |9 199569 
245 1 4 |a The myth of artificial intelligence :  |b why computers can't think the way we do /  |c Erik J. Larson. 
260 |a Cambridge :  |b The Belknap Press of Harvard University Press,  |c 2021. 
300 |a viii, 312 σ. ;  |c 22 εκ. 
504 |a Περιλαμβάνει βιβλιογραφικές παραπομπές (σ. 284-299) και ευρετήριο. 
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" 
650 4 |a Τεχνητή νοημοσύνη  |9 115402 
650 4 |a Νόηση  |9 421 
650 4 |a Επεξεργασία φυσικής γλώσσας (Επιστήμη των υπολογιστών)  |9 60572 
650 4 |a Νευροεπιστήμες  |9 39449 
942 |2 ddc  |c BK 
952 |0 0  |1 0  |2 ddc  |4 0  |6 006_300000000000000_LAR  |7 0  |9 373364  |a LISP  |b LISP  |c BSC  |d 2023-07-19  |i 260718  |l 0  |o 006.3 LAR  |p 025000298646  |r 2023-07-19 00:00:00  |t 1  |w 2023-07-19  |y BK15  |x Προσκτήσεις Τμήματος Φιλολογίας 
998 |c ΓΚΟΓΚΟΥ  |d 2023-07 
999 |c 217717  |d 217717