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020 _a9783319225999
040 _aES-MaUEC
050 4 _aB105.E87
_bA585 2016
082 0 4 _a006.3
245 1 0 _aAnticipation Across Disciplines
_cedited by Mihai Nadin
250 _a1st ed.
260 _aCham
_bSpringer International Publishing
_c2016
300 _a1 recurso en línea (VII, 403 páginas)
_b105 ilustraciones, 43 ilustraciones en color
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aCognitive Systems Monographs
_x1867-4925
_v29
505 0 _aPart I Theoretical and General Aspects of Anticipation -- Part II Anticipation in Biological and Physiological Systems -- Part III Anticipation in Neural Networks -- Part IV Anticipation in Engineering and Information Technology -- Part V Anticipation, Culture, and Society.
520 3 _aNever before was anticipation more relevant to the life and activity of humankind than it is today. zIt is no overstatement to suggest that humanity�s future will be shaped by its capacity to anticipate�.y (Research Agenda for the 21st Century, National Science Foundation). The sciences and the humanities can no longer risk explaining away the complexity and interactivity that lie at the foundation of life and living. The perspective of the world that anticipation opens justifies the descriptor zthe post-Cartesian Revolution.y If anticipation is a valid research domain, what practical relevance can we await? Indeed, anticipation is more than just the latest catch-word in marketing the apps developed by the digital technology industry. Due to spectacular advances in the study of the living, anticipation can claim a legitimate place in current investigations and applications in the sciences and the humanities. Biology, genetics, medicine, as well as politics and cognitive, behavioral, and social sciences, provide rich evidence of anticipatory processes at work. Readers seeking a foundation for anticipation will find in these pages recent outcomes pertinent to plant life, political anticipation, cognitive science, architecture, computation. The authors contributing to this volume frame experimental data in language that can be shared among experts from all fields of endeavor. The major characteristic is the inference from the richness of data to principles and practical consequences.�.
710 2 _aSpringerLink (Online service)
_0Local
_9106996
942 _2lcc
_cLE
988 _aEBOOK, asignarmaterias , EBSPRINGER
650 7 _aInteligencia artificial
_0comprobar BNE19900997218
_2embne
_9413115
650 0 7 _aRedes neuronales artificiales
_0
_2embne
_9678664
700 1 _aNadin, Mihai.
_eeditor literario
_944408
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-22599-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901 _ai9783319225999
907 _a.b12941323
_b10-10-17
_c21-11-16
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