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020 ▼a 9781032626192 ▼q electronic book
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020 ▼z 9781032626185 ▼q hardcover
020 ▼z 9781032626178 ▼q paperback
0247 ▼a 10.4324/9781032626192 ▼2 doi
035 ▼a 3905196 ▼b (N$T)
035 ▼a (OCoLC)1425815233
037 ▼a 9781032626192 ▼b Taylor & Francis
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05004 ▼a Q338.85 ▼b .A33 2024
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072 7 ▼a JHB ▼2 bicssc
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24500 ▼a AI and common sense : ▼b ambitions and frictions / ▼c edited by Martin W. Bauer and Bernard Schiele.
2463 ▼a Artificial intelligence and common sense
260 ▼a Abingdon, Oxon ; ▼a New York, NY : ▼b Routledge, ▼c 2024.
300 ▼a 1 online resource (xix, 265 pages) : ▼b illustrations.
336 ▼a text ▼b txt ▼2 rdacontent
337 ▼a computer ▼b c ▼2 rdamedia
338 ▼a online resource ▼b cr ▼2 rdacarrier
4901 ▼a Routledge studies in science, technology and society ; ▼v 58
504 ▼a Includes bibliographical references and indexes.
520 ▼a "Common Sense is the endless frontier in the development of Artificial Intelligence, but what exactly is Common Sense, can we replicate it in algorithmic form, and if we can - should we? Bauer, Schiele, and their contributors from a range of disciplines, analyse the nature of Common Sense, and the consequent challenges of incorporating into Artificial Intelligence models. They look at different ways we might understand Common Sense and which of these ways are simulated within computer algorithms. These include sensory integration, self-evident truths, rhetorical common places, and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology, Political Science, Media & Culture, Psychology and Computer Science, the contributors lay out key questions, practical challenges and 'common sense' concerns underlying the incorporation of Common Sense within machine learning algorithms for simulating intelligence, socializing robots, self-driving vehicles, personnel selection, reading, automatic text analysis, and text production. A valuable resource for students and scholars of Science-Technology-Society studies, Sociologists, Psychologists, Media & Culture Studies, Human-Computer Interaction with an interest in the post-human, and programmers tackling the contextual questions of machine learning"-- ▼c Provided by publisher.
5450 ▼a Martin W. Bauer is Professor of Social Psychology and Research Methodology at the London School of Economics and Political Science (LSE). He investigates "common sense" in relation to science and emerging technologies in the international MACAS (Mapping the Cultural Authority of Science) network. He is a Fellow of the German National Academy of Technical Sciences (acatech). Recent publications include The Psychology of Social Influence: Modes and Modalities of Shifting Common Sense (2021, with Gordon Sammut); Atom, Bytes & Genes: Public Resistance and Techno-scientific Responses (2015). Bernard Schiele (PhD) is a Professor of Communications in the Faculty of Communication at the University of Que?bec at Montre?al (Canada). He has been working for a number of years on the socio-dissemination of S&T. Among other books he has recently published are Science Communication Today (2015, with Joe?lle Le Marec and Patrick Baranger); Communicating Science, A Global Perspective (2020 with Toss Gascoigne and colleagues); Science Culture in a Diverse World: Knowing, Sharing, Caring (2021, with Xuan Liu and Martin Bauer); Le muse?e dans la socie?te? [The Museum in Society] (2021), and Science Communication: Taking a Step Back to Move Forward (2023, with Martin Bauer).
588 ▼a Description based on online resource; title from digital title page (viewed on August 21, 2024).
590 ▼a WorldCat record variable field(s) change: 050
650 0 ▼a Commonsense reasoning.
650 0 ▼a Artificial intelligence.
650 6 ▼a Raisonnement de sens commun.
650 6 ▼a Intelligence artificielle.
650 7 ▼a artificial intelligence. ▼2 aat
650 7 ▼a COMPUTERS / Artificial Intelligence ▼2 bisacsh
650 7 ▼a PSYCHOLOGY / Applied Psychology ▼2 bisacsh
655 4 ▼a Electronic books.
7001 ▼a Bauer, Martin W., ▼e editor.
7001 ▼a Schiele, Bernard, ▼e editor.
77608 ▼i Print version: ▼t AI and common sense ▼d Abingdon, Oxon ; New York, NY : Routledge, 2024 ▼z 9781032626185 ▼w (DLC) 2024004049
830 0 ▼a Routledge studies in science, technology, and society ; ▼v 58.
85640 ▼3 EBSCOhost ▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3905196
938 ▼a YBP Library Services ▼b YANK ▼n 305936317
938 ▼a YBP Library Services ▼b YANK ▼n 21028682
938 ▼a EBSCOhost ▼b EBSC ▼n 3905196
990 ▼a 관리자
994 ▼a 92 ▼b N$T