000 02528nam a22003855i 4500
001 394516
003 ES-MaUEC
005 20230102123138.0
007 cr nn 008mamaa
008 221130s2022 sz | s |||| 0|eng d
020 _a9783031223211
024 7 _a10.1007/978-3-031-22321-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 0 _aArtificial Intelligence Research
_bThird Southern African Conference, SACAIR 2022, Stellenbosch, South Africa, December 5-9, 2022, Proceedings
_cedited by Anban Pillay, Edgar Jembere, Aurona Gerber
250 _a1st edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (XV, 401 páginas)
_b180 ilustraciones, 103 ilustraciones a color
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
490 0 _aCommunications in Computer and Information Science
_x1865-0937
_v1734
505 0 _aAlgorithmic, Data Driven and Symbolic AI -- Socio-technical and human-centered AI -- Responsible and Ethical AI.
520 _aThis book constitutes the refereed proceedings of the Third Southern African Conference on Artificial Intelligence Research, SACAIR 2022, held in Stellenbosch, South Africa, in December 2022. The 26 papers presented were thoroughly reviewed and selected from the 73 submissions. They are organized on the topical sections on algorithmic, data driven and symbolic AI; socio-technical and human-centered AI; responsible and ethical AI. .
700 1 _aPillay, Anban
_eeditor literario
_0(orcid)0000-0001-7160-6972
_1https://orcid.org/0000-0001-7160-6972
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aJembere, Edgar
_eeditor literario
_0(orcid)0000-0003-1776-1925
_1https://orcid.org/0000-0003-1776-1925
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aGerber, Aurona
_eeditor literario
_0(orcid)0000-0003-1743-8167
_1https://orcid.org/0000-0003-1743-8167
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
776 0 8 _iPrinted edition:
_z9783031223204
776 0 8 _iPrinted edition:
_z9783031223228
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-22321-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aSpringer_Computer_2022
999 _c394516
_d394516