000			02876 a2200409 4500
001			23578495
003			0000
005			20251013152020.0
008			240223s2024 enk b 001 0 eng
010			_a 2024004049
020			_a9781032626178
035			_a23578495
040			_aDLC _beng _erda _cDLC
042			_apcc
050	0	0	_aQ 338.85 .A33
082	0	0	_a006.3 _223/eng/20240223
100			_aBauer, Martin W. (editor)
245	0	0	_aAI and common sense : _bambitions and frictions / _cedited by Martin W. Bauer and Bernard Schiele.
246	3		_aArtificial intelligence and common sense
263			_a2406
264		1	_aAbingdon, Oxon ; _aNew York, NY : _bRoutledge, _c2024.
300			_axix, 265p.ill.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aRoutledge studies in science, technology and society
504			_aIncludes bibliographical references and index.
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"-- _cProvided by publisher.
650		0	_aCommonsense reasoning.
650		0	_aArtificial intelligence
700	1		_aBauer, Martin W., _eeditor.
700	1		_aSchiele, Bernard, _eeditor.
776	0	8	_iOnline version: _tAI and common sense _dAbingdon, Oxon ; New York, NY : Routledge, 2024 _z9781032626192 _w(DLC) 2024004050
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK
999			_c43741 _d43741