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 language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005 |
| Pages | 427-430 |
| Number of pages | 4 |
| Volume | 2005 |
| DOIs | |
| State | Published - 2005 |
| Event | 2005 IEEE Swarm Intelligence Symposium, SIS 2005 - Pasadena, CA, United States Duration: Jun 8 2005 → Jun 10 2005 |
Other
| Other | 2005 IEEE Swarm Intelligence Symposium, SIS 2005 |
|---|---|
| Country | United States |
| City | Pasadena, CA |
| Period | 6/8/05 → 6/10/05 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Bacterial communities : A microbiological model for swarm intelligence. / Flikkema, Paul G; Leid, Jeffrey G.
Proceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005. Vol. 2005 2005. p. 427-430 1501655.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Bacterial communities
T2 - A microbiological model for swarm intelligence
AU - Flikkema, Paul G
AU - Leid, Jeffrey G.
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=33745770423&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745770423&partnerID=8YFLogxK
U2 - 10.1109/SIS.2005.1501655
DO - 10.1109/SIS.2005.1501655
M3 - Conference contribution
SN - 0780389166
SN - 9780780389168
VL - 2005
SP - 427
EP - 430
BT - Proceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005
ER -