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OverviewThis 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. Full Product DetailsAuthor: Larry BullPublisher: Springer Nature Switzerland AG Imprint: Springer Nature Switzerland AG Edition: 1st ed. 2020 Volume: 37 Weight: 0.454kg ISBN: 9783030407322ISBN 10: 3030407322 Pages: 88 Publication Date: 29 January 2021 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsReviews“This book offers an excellent entry point for newcomers to research ... . the reader learns about a wide range of fascinating open questions regarding the evolution of complexity. I was truly impressed at the variety of concepts that were touched on. Ultimately, I could absolutely imagine giving this to a new student as a quick introduction to this flavor of research, and I very much enjoyed reading it myself too!” (Emily Dolson, Genetic Programming and Evolvable Machines, Vol. 23 (4), 2022) This book offers an excellent entry point for newcomers to research ... . the reader learns about a wide range of fascinating open questions regarding the evolution of complexity. I was truly impressed at the variety of concepts that were touched on. Ultimately, I could absolutely imagine giving this to a new student as a quick introduction to this flavor of research, and I very much enjoyed reading it myself too! (Emily Dolson, Genetic Programming and Evolvable Machines, Vol. 23 (4), 2022) Author InformationLarry 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. Tab Content 6Author Website:Countries AvailableAll regions |
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