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

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Multiagent System Technologies (MATES 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5244))

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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.

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Author information

Authors and Affiliations

  1. Almende B.V., Westerstraat 50, 3016 DJ, Rotterdam, The Netherlands

    Duco N. Ferro

  2. Man-Machine Interaction group, Delft University of Technology, Mekelweg 4, 2628 CD, Delft, The Netherlands

    Catholijn M. Jonker

Authors
  1. Duco N. Ferro
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  2. Catholijn M. Jonker
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Ralph Bergmann Gabriela Lindemann Stefan Kirn Michal Pěchouček

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© 2008 Springer-Verlag Berlin Heidelberg

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Ferro, D.N., Jonker, C.M. (2008). Filtering Algorithm for Agent-Based Incident Communication Support in Mobile Human Surveillance. In: Bergmann, R., Lindemann, G., Kirn, S., Pěchouček, M. (eds) Multiagent System Technologies. MATES 2008. Lecture Notes in Computer Science(), vol 5244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87805-6_6

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  • DOI: https://doi.org/10.1007/978-3-540-87805-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87804-9

  • Online ISBN: 978-3-540-87805-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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