Common Sense, the Turing Test, and the Quest for Real AI (Record no. 296677)

MARC details
000 -LEADER
fixed length control field 02037nam a22001457a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262036047
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.301 LEV-C
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Hector J Levesque
245 ## - TITLE STATEMENT
Title Common Sense, the Turing Test, and the Quest for Real AI
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cambridge, Massachusetts
Name of publisher, distributor, etc. MIT Press,
Date of publication, distribution, etc. 2017
300 ## - PHYSICAL DESCRIPTION
Extent xv, 172 pages ; 21 cm
520 ## - SUMMARY, ETC.
Summary, etc. "What can artificial intelligence teach us about the mind? If AI's underlying concept is that thinking is a computational process, then how can computation illuminate thinking? It's a timely question. AI is all the rage, and the buzziest AI buzz surrounds adaptive machine learning: computer systems that learn intelligent behavior from massive amounts of data. This is what powers a driverless car, for example. In this book, Hector Levesque shifts the conversation to good old fashioned artificial intelligence, which is based not on heaps of data but on understanding commonsense intelligence. This kind of artificial intelligence is equipped to handle situations that depart from previous patterns, as we do in real life, when, for example, we encounter a washed-out bridge or when the barista informs us there's no more soy milk. Levesque considers the role of language in learning. He argues that a computer program that passes the famous Turing Test could be a mindless zombie, and he proposes another way to test for intelligence -- the Winograd Schema Test, developed by Levesque and his colleagues. If our goal is to understand intelligent behavior, we had better understand the difference between making it and faking it, he observes. He identifies a possible mechanism behind common sense and the capacity to call on background knowledge: the ability to represent objects of thought symbolically. As AI migrates more and more into everyday life, we should worry if systems without common sense are making decisions where common sense is needed."--Provided by publisher.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence. Thought and thinking. Intellect.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Dept. of Computational Biology and Bioinformatics Dept. of Computational Biology and Bioinformatics Processing Center 21/04/2018   006.301 LEV-C DCB3195 21/04/2018 21/04/2018 Book