Filtering Algorithm for Agent-Based Incident Communication Support in Mobile Human Surveillance

Duco N. Ferro, Catholijn M. Jonker

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

This paper presents an ontology and a filtering algorithm used in an agent-based system to support communication in case of incidents in the mobile human surveillance domain. In that domain reaching the right people as soon as possible is of the essence when incidents occur. The main goal of our efforts is to significantly reduce the response time in case of incidents by proposing and setting up the communication to the right people. Experimental results show that this can reduce the response time by more than 50%, e.g., from 40 to 20 minutes. To continuously improve the accuracy of the proposed communications, the agent-based system uses feedback mechanisms. An implementation of this system, ASK-ASSIST, has been deployed at a mobile human surveillance company.
Original languageEnglish
Title of host publicationMultiagent System Technologies
Subtitle of host publication6th German Conference, MATES 2008
Place of PublicationBerlin
PublisherSpringer
Pages49-60
Number of pages12
ISBN (Electronic)978-3-540-87805-6
ISBN (Print)978-3-540-87804-9
DOIs
Publication statusPublished - 2008
Event6th German Conference on Multiagent System Technologies, MATES 2008 - University of Kaiserslautern, Kaiserslautern, Germany
Duration: 23 Sept 200826 Sept 2008
http://www.wi2.uni-trier.de/mates08/

Publication series

NameLectrure Notes in Computer Science
Volume5244

Conference

Conference6th German Conference on Multiagent System Technologies, MATES 2008
Abbreviated titleMATES 2008
Country/TerritoryGermany
CityKaiserslautern
Period23/09/0826/09/08
Internet address

Keywords

  • Mobile human surveillance
  • Incident management
  • communication support
  • collaborative filtering
  • agent-based decision support

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