Adaptivity modeling for complex adaptive systems with application to biology

Donghang Guo, Eunice E. Santos, Ankit Singhal, Eugene Santos, Qunhua Zhao

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

Abstract

Modeling or simulating Complex Adaptive Systems (CASs) is a very important and challenging endeavor. Previously, we introduced a generic framework for addressing this problem, and included a number of critical criteria including emergence, self-organization, adaptivity, and others. In this paper, we present the methodology used for designing a particularly key component of our framework: the short-term adaptivity model. We test our short-term adaptivity model and framework within the biological science application domain, which have a number of critical CASs. In particular we model the aggregation process of Dictyostelium. The comparison between established biological experimental results and our simulation results validate the effectiveness of our model and framework.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Pages272-277
Number of pages6
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007 - Montreal, QC, Canada
Duration: Oct 7 2007Oct 10 2007

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Other

Other2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
CountryCanada
CityMontreal, QC
Period10/7/0710/10/07

Keywords

  • Complex Adaptive System (CAS)
  • Dictyostelium
  • Multi-agent system (MAS)
  • Multicellular simulation
  • Short term adaptivity

ASJC Scopus subject areas

  • Engineering(all)

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