A deterministic agent-particle model for cellular diffusion, aggregation and self-organization

Jean Marie Dembele, Hiroki Sayama

Research output: Contribution to journalConference articlepeer-review

4 Citations (Scopus)


This paper presents an agent-based model of cellular proliferation, taxis and spatial diffusion. Our model describes the behavior of individual cells, rather than the aggregate behavior of cell distributions, derived from a set of partial differential equations. The physical motions of cells - taxis toward higher concentration of nutrients and diffusion in space - are handled in a deterministic way, which is a unique, distinctive feature of our model compared to other stochastic simulation models. The model is tested with some simple assumptions to show interesting self-organizing behaviors.

Original languageEnglish
Article number6602427
Pages (from-to)21-26
Number of pages6
JournalIEEE Symposium on Artificial Life (ALIFE)
Issue numberJanuary
Publication statusPublished - 2013
Externally publishedYes
Event4th IEEE International Symposium on Artificial Life, IEEE ALIFE 2013 - Singapore, Singapore
Duration: 2013 Apr 162013 Apr 19


  • Agent-based modeling
  • Aggregation
  • Cellular diffusion
  • Particle model
  • Self-organization
  • Taxis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Biochemistry, Genetics and Molecular Biology(all)


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