Authors:
- Describes key increases in complexity seen in the natural world
- Explains them using features of fitness landscapes
- Written in a clear and engaging manner
Part of the book series: Emergence, Complexity and Computation (ECC, volume 37)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
This book gathers together much of the author’s work – both old and new - to explore a number of the key increases in complexity seen in the natural world, seeking to explain each of them purely in terms of the features of fitness landscapes. In a very straightforward manner, the book introduces basic concepts to help readers follow the main ideas. By using variations of the NK model and including the concept of the Baldwin effect, the author presents new abstract models that are able to explain why sources of evolutionary innovation (genomes, symbiosis, sex, chromosomes, multicellularity) have been selected for and hence how complexity has increased over time in some lineages.
Keywords
- Evolutionary Innovation
- Baldwin Effect
- Landscape Ruggedness
- Fitness Landscape Models
- Evolution of Sex
- Evolution of Genome Length
- Evolution of Multicellularity
- Evolution of Symbiosis
- NK Model
- NKCS Model
- Evolution of Mating Types
- Model of Coevolution
- Emergence of Dominance
- Evolution of Sex Chromosomes
- Symbiogenesis
- Eusociality
- complexity
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Authors and Affiliations
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University of the West of England, Department of Computer Science and Creative Technologies, Bristol, UK
Larry Bull
About the author
Larry Bull is Professor of artificial intelligence at the University of the West of England (UWE), Bristol, UK. His main research interest is evolution, the computational modelling of natural systems and its use in artificial systems. He has published widely in areas such as artificial life, evolutionary computing, and unconventional computing. Prof Bull was the Founding Editor-in-Chief for the Springer journal Evolutionary Intelligence and has edited a number of books on evolutionary reinforcement learning.
Bibliographic Information
Book Title: The Evolution of Complexity
Book Subtitle: Simple Simulations of Major Innovations
Authors: Larry Bull
Series Title: Emergence, Complexity and Computation
DOI: https://doi.org/10.1007/978-3-030-40730-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-40729-2Published: 29 January 2020
Softcover ISBN: 978-3-030-40732-2Published: 29 January 2021
eBook ISBN: 978-3-030-40730-8Published: 28 January 2020
Series ISSN: 2194-7287
Series E-ISSN: 2194-7295
Edition Number: 1
Number of Pages: X, 88
Number of Illustrations: 64 b/w illustrations, 1 illustrations in colour
Topics: Complexity, Evolutionary Biology, Machine Learning, Complex Systems