Bacterial communities: A microbiological model for swarm intelligence

Paul G. Flikkema, Jeffrey G. Leid

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

Abstract

Bacteria are highly efficient agents that sense, compute, and actuate. Moreover, they can form robust interspecies networks-bacterial communities-via sophisticated communication protocols. We assert that the improved understanding of these communities in the last decade provides a new model for swarm intelligence with distinct advantages, including ease of laboratory experimentation, explicit coupling of communication and behavior, and intergenerational dynamics. The first part of this paper provides a brief overview of bacterial communities in the context of swarm intelligence. The second part describes a promising new application of SI principles inspired by bacterial communities: the design of robust networked embedded and real-time systems.

Original languageEnglish (US)
Title of host publicationProceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005
Pages427-430
Number of pages4
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE Swarm Intelligence Symposium, SIS 2005 - Pasadena, CA, United States
Duration: Jun 8 2005Jun 10 2005

Publication series

NameProceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005
Volume2005

Other

Other2005 IEEE Swarm Intelligence Symposium, SIS 2005
CountryUnited States
CityPasadena, CA
Period6/8/056/10/05

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Flikkema, P. G., & Leid, J. G. (2005). Bacterial communities: A microbiological model for swarm intelligence. In Proceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005 (pp. 427-430). [1501655] (Proceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005; Vol. 2005). https://doi.org/10.1109/SIS.2005.1501655