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020 _a9783030755836
024 7 _a10.1007/978-3-030-75583-6
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQA76.9.D5
_b2021 EB
245 1 0 _aDecision Economics: Minds, Machines, and their Society
_cedited by Edgardo Bucciarelli, Shu-Heng Chen, Juan M. Corchado, Javier Parra D.
250 _aFirst edition 2021
264 1 _aCham
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XXIV, 272 páginas)
_b78 ilustraciones, 61 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aStudies in Computational Intelligence
_x1860-9503
_v990
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
520 3 _aThis book is the result of a multi‐year research project led and sponsored by the University of Chieti‐ Pescara, National Chengchi University, University of Salamanca, and Osaka University. It is the fifth volume to emerge from that international project, held under the aegis of the United Nations Academic Impact in 2020. All the essays in this volume were (virtually) discussed at the University of L'Aquila-as the venue of the 2nd International Conference on Decision Economics, a three‐day global gathering of approximately one hundred scholars and practitioners-and were subjected to peer review by leading experts in the field. The essays reflect the extent, diversity, and richness of several research areas, both normative and descriptive, and are an invaluable resource for graduate‐level and PhD students, academics, researchers, policymakers and other professionals, especially in the social and cognitive sciences. Given its interdisciplinary scope, the book subsequently delivers new approaches on how to contribute to the future of economics, providing alternative explanations for various socio‐economic issues such as computable humanities; cognitive, behavioural, and experimental perspectives in economics; data analysis and machine learning as well as research areas at the intersection of computer science, artificial intelligence, mathematics, and statistics; agent‐based modelling and the related. The editors are grateful to the scientific committee for its continuous support throughout the research project as well as to the many participants for their insightful comments and always probing questions. In any case, the collaboration involved in the project extends far beyond the group of authors published in this volume and is reflected in the quality of the essays published over the years.
988 _aSpringer_Robotics_2021
650 7 _2embne
_aProceso distribuido (Informática)
_9156434
700 1 _aBucciarelli, Edgardo
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_999680
700 1 _aChen, Shu-Heng,
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681770
_d1959-
700 1 _aCorchado, Juan Manuel
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9100054
700 _aParra D., Javier
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9681771
776 0 8 _iPrinted edition:
_z9783030755829
776 0 8 _iPrinted edition:
_z9783030755843
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-75583-6
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE