000 02838nam a22003378i 4500
001 CR9781316594179
003 UkCbUP
005 20240730160830.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 151006s2017||||enk o ||1 0|eng|d
020 _a9781316594179 (ebook)
020 _z9781107153011 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 4 _aQP357.5
_b.H47 2017
082 0 0 _a616.8900285
_223
100 1 _aHernández Orallo, José,
_eauthor.
_975163
245 1 4 _aThe measure of all minds :
_bevaluating natural and artificial intelligence /
_cJosé Hernández-Orallo.
264 1 _aCambridge :
_bCambridge University Press,
_c2017.
300 _a1 online resource (xvi, 553 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 31 Jan 2017).
505 0 _aExtended nature -- Mind the step : scala universalis -- The evaluation of human behaviour -- The evaluation of non-human natural behaviour -- The evaluation of artificial intelligence -- The boundaries against a unified evaluation -- Intelligence and algorithmic information theory -- Cognitive tasks and difficulty -- From tasks to tests -- The arrangement of abilities -- General intelligence -- Cognitive development and potential -- Identifying social skills -- Communication abilities -- Evaluating collective and hybrid systems -- Universal tests -- Rooting for ratiocentrism -- Exploitation and exploration.
520 _aAre psychometric tests valid for a new reality of artificial intelligence systems, technology-enhanced humans, and hybrids yet to come? Are the Turing Test, the ubiquitous CAPTCHAs, and the various animal cognition tests the best alternatives? In this fascinating and provocative book, José Hernández-Orallo formulates major scientific questions, integrates the most significant research developments, and offers a vision of the universal evaluation of cognition. By replacing the dominant anthropocentric stance with a universal perspective where living organisms are considered as a special case, long-standing questions in the evaluation of behavior can be addressed in a wider landscape. Can we derive task difficulty intrinsically? Is a universal g factor - a common general component for all abilities - theoretically possible? Using algorithmic information theory as a foundation, the book elaborates on the evaluation of perceptual, developmental, social, verbal and collective features and critically analyzes what the future of intelligence might look like.
650 0 _aComputational neuroscience.
_915392
650 0 _aNeuroinformatics.
_975164
856 4 0 _uhttps://doi.org/10.1017/9781316594179
942 _cEBK
999 _c84371
_d84371