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_aB105.E87 _bA585 2016 |
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| 082 | 0 | 4 | _a006.3 |
| 245 | 1 | 0 |
_aAnticipation Across Disciplines _cedited by Mihai Nadin |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
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| 300 |
_a1 recurso en línea (VII, 403 páginas) _b105 ilustraciones, 43 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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_aelectrónico _bc _2rdamedia |
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_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aCognitive Systems Monographs _x1867-4925 _v29 |
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| 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.�. | |
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_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115 |
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_aRedes neuronales artificiales _0 _2embne _9678664 |
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_aNadin, Mihai. _eeditor literario _944408 |
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_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) |
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