A multi-agent system environment for modelling cell and tissue biology

Eunice E. Santos, Donghang Guo, Eugene Santos, William Onesty

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

Abstract

Tissue simulation at the cellular level is very important to medical research, especially in understanding tumor cell evolution. Although many approaches have been proposed for tissue simulation, they are overly simplistic or too specialized. In this paper, we formulate the first comprehensive design of a multi-agent system for modelling tissue systems at the cellular level. We present our design concerns and our analyses of system features in detail. We believe our system provides a software model and foundation for the study of tissue biology.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'04
EditorsH.R. Arabnia
Pages3-9
Number of pages7
StatePublished - 2004
Externally publishedYes
EventProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'04 - Las Vegas, NV, United States
Duration: Jun 21 2004Jun 24 2004

Publication series

NameProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'04
Volume1

Other

OtherProceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'04
Country/TerritoryUnited States
CityLas Vegas, NV
Period6/21/046/24/04

Keywords

  • Cell and tissue biology
  • Distributed decision-making
  • Mobile multi-agent system
  • Systems biology

ASJC Scopus subject areas

  • General Engineering

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