Evolution, Development and Complexity (eBook)

Multiscale Evolutionary Models of Complex Adaptive Systems

Georgi Yordanov Georgiev, John M. Smart, Claudio L. Flores Martinez, Michael E. Price (Herausgeber)

eBook Download: PDF

2019 | 1st ed. 2019
XXX, 454 Seiten
Springer International Publishing (Verlag)
978-3-030-00075-2 (ISBN)

Infos

This book explores the universe and its subsystems from the three lenses of evolutionary (diversifying), developmental (converging), and complex (adaptive) processes at all scales. It draws from prolific experts within the academic disciplines of complexity science, physical science, information and computer science, theoretical and evo-devo biology, cosmology, astrobiology, evolutionary theory, developmental theory, and philosophy.

The chapters come from a Satellite Meeting, 'Evolution, Development and Complexity' (EDC) hosted at the Conference on Complex Systems, in Cancun, 2017. The contributions will be peer-reviewed and contributors from outside the conference will be invited to submit chapters to ensure full coverage of the topics.

This book explores many issues within the field of EDC such as the interaction of evolutionary stochasticity and developmental determinism in biological systems and what they might teach us about these twin processes in other complex systems.  This text will appeal to students and researchers within the complex systems and EDC fields.

Georgi Georgiev, a director of the Evo Devo Universe research community, is a Full Professor of Physics at Assumption College and Worcester Polytechnic Institute, Worcester, MA. His interests are in applying first principles from Physics to explain the continuous self-organization and evolution in Complex Systems very far away from Thermodynamic Equilibrium. His approach is to use variational principles as drivers for progressive development of structure in those systems. He has proposed to use the efficiency of physical action as a measure for the degree of organization.

John M. Smart, a director and co-founder of the Evo Devo Universe research community, is a Lecturer in Foresight at the Naval Postgraduate School (Monterey, CA), and President of the Acceleration Studies Foundation, a nonprofit promoting improved scientific understanding and technical management of processes of accelerating change. He is author of Introduction to Foresight (2018), the book precis Evo Devo Universe? (2008) and the journal article Transcension hypothesis (2012).

Claudio L. Flores Martinez, a director of the Evo Devo Universe research community, is a PhD student at the University of Hamburg with a background in molecular biosciences and developmental biology (B.Sc. and M.Sc. from the University of Heidelberg). His expertise is covering areas in theoretical biology with a focus on major transitions across organizational levels of bio-complexity, the origin of life, genome evolution, convergence, top-down causation, philosophy of science, cognition, neuroscience, complex adaptive systems, technological innovation and biomimetics. He is running his own innovation consultancy for biomimetic systems design and knowledge engineering.

Michael E. Price, a director of the Evo Devo Universe research community, is Senior Lecturer in Psychology at Brunel University London. He has a BA from Duke University and a PhD from the UC Santa Barbara Center for Evolutionary Psychology. His research interests focused initially on biological evolutionary psychology (especially, morality and human nature), but have expanded more recently to include universal Darwinism (the creative potential of Darwinian selection, across natural domains), and the evolution of religiosity.

Produkt-Details

• Erscheint lt. Verlag: 25.6.2019
• Reihe/Serie: Springer Proceedings in Complexity
• Reihe/Serie: Springer Proceedings in Complexity
• Zusatzinfo: XXX, 454 p. 55 illus., 51 illus. in color.
• Sprache: englisch
• Themenwelt: Naturwissenschaften ► Biologie
• Themenwelt: Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
• Schlagworte: accelerating complexity • adaptive networks • bio-inspired models • Complexity • Convergent evolution • Evo Devo • intelligence models • nonlinear and adaptive dynamics • systems biology
• ISBN-10: 3-030-00075-3 / 3030000753
• ISBN-13: 978-3-030-00075-2 / 9783030000752