Overview
- Pathbreaking findings on aging opening a completely new field of research
- The author gets away from the human centered vision of life showing that aging in any organism does not necessarily correspond to deterioration and senescence
- Optimization models using sophisticated methods of control theory and dynamic programming
- Includes supplementary material: sn.pub/extras
Part of the book series: Demographic Research Monographs (DEMOGRAPHIC)
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Table of contents (6 chapters)
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Front Matter
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Introduction
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Hamilton
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Front Matter
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Optimization Models
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Front Matter
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Back Matter
Keywords
About this book
Aging is inevitable: this is gerontological dogma. And humans do inevitably grow old, which is probably why it seems so unlikely to us that other forms of life could escape aging. Escaping aging is not escaping death. Death is an inherent part of life, and it can strike any time. But the question is whether death necessarily becomes more likely as life proceeds. And it does not. The theoretical results in this monograph indicate that life provides alternative strategies. While some organisms will deteriorate over adult ages, for others mortality appears to fall or remain constant, at least over an extended period of life after reproductive maturity. This is empirically observed especially for species that keep on growing during adult ages. Perhaps the diversity of aging matches the diversity of life. My thesis, the central insight of this monograph, is: to deeply understand why some species age it is necessary to understand why other species do not.
Authors and Affiliations
Bibliographic Information
Book Title: Inevitable Aging?
Book Subtitle: Contributions to Evolutionary-Demographic Theory
Authors: Annette Baudisch
Series Title: Demographic Research Monographs
DOI: https://doi.org/10.1007/978-3-540-76656-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Business and Economics, Economics and Finance (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-76655-1Published: 03 January 2008
Softcover ISBN: 978-3-642-09534-4Published: 25 November 2010
eBook ISBN: 978-3-540-76656-8Published: 08 January 2008
Series ISSN: 1613-5520
Series E-ISSN: 2197-9286
Edition Number: 1
Number of Pages: XXI, 170
Topics: Population Economics, Aging, Demography, Medicine/Public Health, general, Evolutionary Biology, Applications of Mathematics