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

Jean Marie Dembele, Hiroki Sayama

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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)
Volume2013-January
Issue numberJanuary
DOIs
Publication statusPublished - 2013
Externally publishedYes

Fingerprint

Agglomeration
Cells
Cell Proliferation
Food
Nutrients
Partial differential equations

Keywords

  • 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)

Cite this

A deterministic agent-particle model for cellular diffusion, aggregation and self-organization. / Dembele, Jean Marie; Sayama, Hiroki.

In: IEEE Symposium on Artificial Life (ALIFE), Vol. 2013-January, No. January, 6602427, 2013, p. 21-26.

Research output: Contribution to journalArticle

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