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Table of contents (14 chapters)
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Front Matter
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Limits to Knowledge An Introduction
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Front Matter
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The Philosophy of Biology, Paradigms, and Paradigm Shifts
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Front Matter
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Limits to Historical Inference and Prediction
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Front Matter
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Quantitative Genetics and the Prediction of Phenotype from Genotype
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Front Matter
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Conclusions
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Back Matter
About this book
After volume 33, this book series was replaced by the journal "Evolutionary Biology." Please visit www.springer.com/11692 for further information.
The nature of science is to work on the boundaries between the known and the unknown. These boundaries shift as new methods are developed and as new concepts are elaborated (e.g., the theory of the gene, or more recently, the coalescence framework in population genetics). These tools allow us to address questions that were previously outside the realm of science, and, as a consequence, the boundary between the knowable and unknowable has shifted. A study of limits should reveal and clarify the boundaries and make sharper the set of questions. This book examines and analyzes these new limits as they are applied to evolutionary biology and population genetics. It does this by framing the analysis within four major classes of problems - establishing the fact of evolution; understanding the evolutionary pathways that led to today's biological world; mechanisms of evolutionary change (e.g., models of social behavior, sexual selection, macro evolution); and, finally, prediction.
Editors and Affiliations
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Department of Botany and Plant Sciences, University of California, Riverside, USA
Michael T. Clegg
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Queens College of the City University of New York, Flushing, USA
Max K. Hecht
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Cornell University, Ithaca, USA
Ross J. Macintyre
Bibliographic Information
Book Title: Evolutionary Biology
Book Subtitle: Limits to Knowledge in Evolutionary Genetics
Editors: Michael T. Clegg, Max K. Hecht, Ross J. Macintyre
Series Title: Evolutionary Biology
DOI: https://doi.org/10.1007/978-1-4615-4135-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2000
Hardcover ISBN: 978-0-306-46227-6Published: 30 September 2000
Softcover ISBN: 978-1-4613-6854-0Published: 27 September 2012
eBook ISBN: 978-1-4615-4135-6Published: 06 December 2012
Edition Number: 1
Number of Pages: XVII, 258
Topics: Human Genetics, Evolutionary Biology