Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Crew intelligence systems for digital objects preservation
EASY Innovation Center University of Girona.
EASY Innovation Center University of Girona.
EASY Innovation Center University of Girona.
EASY Innovation Center University of Girona.
Show others and affiliations
2009 (English)In: Proceedings of the Symposium 2nd Swarm Intelligence Algorithms and Applications Symposium (SIAAS-09): A symposium at the AISB 2009 Convention (6-9 April 2009) Heriot-Watt University, Edinburgh, Scotland, Society for the Study of Artificial Intelligence and the Simulation of Behaviour , 2009, 23-30 p.Conference paper, Published paper (Refereed)
Abstract [en]

Crew Intelligence Systems is a family of very simple algorithms for different classes of complex optimization problems in static and dynamic environments by means of reactive multiagent systems. Crew Intelligence systems are loosely inspired from the behavior shown by a staff of bartenders when serving drinks to customers in a bar or pub. In this paper we improve them by letting the bartenders also call (shout) for help, and we adapt them to Digital Objects Preservation, where agents explore file systems looking for victims, digitals objects that need change of format, or any other transformation to be preserved. When they find someone they “shout” so that agent mates can hear it. The louder the shout, the most important or urgent the finding. Louder shouts can also refer to closeness. We perform several experiments to show that this system works very scalably, showing that heterogeneous teams of agents outperform homogeneous ones over a wide range of task complexity. Finally, a properly designed combination of heterogeneous agents is more scalable when confronted with uncertain maps of digital objects to be preserved.

Place, publisher, year, edition, pages
Society for the Study of Artificial Intelligence and the Simulation of Behaviour , 2009. 23-30 p.
National Category
Information Systems, Social aspects
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:ltu:diva-28076Local ID: 1ba0d200-12f7-11de-9768-000ea68e967bISBN: 1902956737 (print)OAI: oai:DiVA.org:ltu-28076DiVA: diva2:1001270
Conference
Swarm Intelligence Algorithms and Applications Symposium : 06/04/2009 - 09/04/2009
Note
Godkänd; 2009; 20090317 (hugo_q)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

Open Access in DiVA

fulltext(494 kB)9 downloads
File information
File name FULLTEXT01.pdfFile size 494 kBChecksum SHA-512
371bba6d3392abf224ff70f04a6f1cfaf2011f80d09c3f258416947156aa2425a78efbf08b4bf3bff301350fb905c77d969ec950e16e41d0015053c98bea381b
Type fulltextMimetype application/pdf

Other links

http://www.aisb.org.uk/convention/aisb09/Proceedings/SIAAS09/FILES/Proceedings.pdf

Search in DiVA

By author/editor
Quisbert, Hugo
By organisation
Computer Science
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar
Total: 9 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf