Evolution, Development and Complexity

Multiscale Evolutionary Models of Complex Adaptive Systems

  • Georgi Yordanov Georgiev
  • John M. Smart
  • Claudio L. Flores Martinez
  • Michael E. Price
Conference proceedings

Part of the Springer Proceedings in Complexity book series (SPCOM)

Table of contents

  1. Front Matter
    Pages i-xxx
  2. Universe

  3. Multiscale Complexity

    1. Front Matter
      Pages 169-169
    2. Casper Hesp, Maxwell Ramstead, Axel Constant, Paul Badcock, Michael Kirchhoff, Karl Friston
      Pages 195-227
    3. Georgi Yordanov Georgiev, Tommi Aho, Juha Kesseli, Olli Yli-Harja, Stuart A. Kauffman
      Pages 229-244
    4. Ivan Zelinka, Roman Šenkeřík
      Pages 245-260
    5. John O. Campbell, Michael E. Price
      Pages 261-290
  4. Biology

  5. Society

    1. Front Matter
      Pages 353-353
    2. Tatiana Flanagan, Walt Beyeler, Drew Levin, Patrick Finley, Melanie Moses
      Pages 355-366
    3. Joseph Norman, Yaneer Bar-Yam
      Pages 367-379
    4. Holly Arrow, Kelly Bouas Henry
      Pages 403-420
  6. Back Matter
    Pages 451-454

About these proceedings


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.  


accelerating complexity adaptive networks bio-inspired models convergent evolution intelligence models nonlinear and adaptive dynamics evo devo

Editors and affiliations

  • Georgi Yordanov Georgiev
    • 1
  • John M. Smart
    • 2
  • Claudio L. Flores Martinez
    • 3
  • Michael E. Price
    • 4
  1. 1.Department of PhysicsWorcester Polytechnic InstituteWorcesterUSA
  2. 2.Acceleration Studies FoundationLos GatosUSA
  3. 3.Department of BiologyInstitute of Zoology, Molecular Evolutionary Biology, University of HamburgHamburgGermany
  4. 4.Department of Life SciencesCentre for Culture and Evolution, Brunel University LondonUxbridgeUK

Bibliographic information

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