The Evolution of Complexity

Simple Simulations of Major Innovations
1. Auflage 2020
ISBN: 978-3-030-40729-2
Verlag: Springer International Publishing

Buch, Englisch, Band 37, 88 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 325 g

Reihe: Emergence, Complexity and Computation

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.

Zielgruppe

Research

Autoren/Hrsg.

Bull, Larry

Fachgebiete

• Naturwissenschaften Physik Angewandte Physik Statistische Physik, Dynamische Systeme
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Naturwissenschaften Biowissenschaften Biowissenschaften Evolutionsbiologie
• Mathematik | Informatik EDV | Informatik Informatik Berechenbarkeitstheorie, Komplexitätstheorie

Inhaltsverzeichnis

TOC available in MS.

Über Autor(innen)

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.