Overview
- Presents recent interdisciplinary research in Anticipation Science
- Reports on contributions to the science of anticipation across the disciplines
- Brings together contributions from world-wide first class academics and scholars
- Includes supplementary material: sn.pub/extras
Part of the book series: Cognitive Systems Monographs (COSMOS, volume 29)
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Table of contents (23 chapters)
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Front Matter
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Theoretical and General Aspects of Anticipation
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Front Matter
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Anticipation in Biological and Physiological Systems
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Front Matter
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Anticipation in Neural Networks
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Anticipation in Engineering and Information Technology
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Keywords
About this book
Never before was anticipation more relevant to the life and activity of humankind than it is today. “It is no overstatement to suggest that humanity’s future will be shaped by its capacity to anticipate….” (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 “the post-Cartesian Revolution.”
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 an
ticipation 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.Editors and Affiliations
Bibliographic Information
Book Title: Anticipation Across Disciplines
Editors: Mihai Nadin
Series Title: Cognitive Systems Monographs
DOI: https://doi.org/10.1007/978-3-319-22599-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-22598-2Published: 02 October 2015
Softcover ISBN: 978-3-319-35823-9Published: 23 August 2016
eBook ISBN: 978-3-319-22599-9Published: 23 September 2015
Series ISSN: 1867-4925
Series E-ISSN: 1867-4933
Edition Number: 1
Number of Pages: IX, 403
Topics: Computational Intelligence, Mathematical Models of Cognitive Processes and Neural Networks, Artificial Intelligence