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

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

Conference Paper (2008)

Author(s)

Duco N. Ferro (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Catholijn M. Jonker (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group

Interactive Intelligence

Collaborative filtering Incident management Mobile human surveillance Communication support Agent-based decision support

DOI related publication

https://doi.org/10.1007/978-3-540-87805-6_6 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:d6a11540-192f-49dc-8753-cafd3e2607e1

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Publication Year

2008

Language

English

Research Group

Interactive Intelligence

Pages (from-to)

49-60

Publisher

Springer

ISBN (print)

978-3-540-87804-9

ISBN (electronic)

978-3-540-87805-6

Event

6th German Conference on Multiagent System Technologies, MATES 2008 (2008-09-23 - 2008-09-26), University of Kaiserslautern, Kaiserslautern, Germany

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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.