Complexity, development, and evolution in morphogenetic collective systems

Hiroki Sayama*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Many living and nonliving complex systems can be modeled and understood as collective systems made of heterogeneous components that self-organize and generate nontrivial morphological structures and behaviors. This chapter presents a brief overview of our recent effort that investigated various aspects of such morphogenetic collective systems. We first propose a theoretical classification scheme that distinguishes four complexity levels of morphogenetic collective systems based on the nature of their components and interactions. We conducted a series of computational experiments using a self-propelled particle swarm model to investigate the effects of (1) heterogeneity of components, (2) differentiation/re-differentiation of components, and (3) local information sharing among components, on the self-organization of a collective system. Results showed that (a) heterogeneity of components had a strong impact on the system’s structure and behavior; (b) dynamic differentiation/re-differentiation of components and local information sharing helped the system maintain spatially adjacent, coherent organization; (c) dynamic differentiation/re-differentiation contributed to the development of more diverse structures and behaviors; and (d) stochastic re-differentiation of components naturally realized a self-repair capability of self-organizing morphologies. We also explored evolutionary methods to design novel self-organizing patterns, using interactive evolutionary computation and spontaneous evolution within an artificial ecosystem. These self-organizing patterns were found to be remarkably robust against dimensional changes from 2D to 3D, although evolution worked efficiently only in 2D settings.

Original languageEnglish
Title of host publicationEvolution, Development and Complexity - Multiscale Evolutionary Models of Complex Adaptive Systems
EditorsClaudio L. Flores Martinez, Georgi Yordanov Georgiev, John M. Smart, Georgi Yordanov Georgiev, Georgi Yordanov Georgiev, John M. Smart, Michael E. Price
Number of pages13
ISBN (Print)9783030000745
Publication statusPublished - 2019
Externally publishedYes
EventConference on Complex Systems, CCS 2017 - Cancun, Mexico
Duration: 2017 Sept 172017 Sept 22

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692


ConferenceConference on Complex Systems, CCS 2017


  • Differentiation/re-differentiation
  • Heterogeneity
  • Interactive evolutionary computation
  • Local information sharing
  • Morphogenetic collective systems
  • Self-organization and self-repair
  • Spontaneous evolutionary ecosystem
  • Swarm chemistry

ASJC Scopus subject areas

  • Modelling and Simulation
  • Applied Mathematics
  • Computer Science Applications


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