A Multi-agent Approach to Model and Analyze the Behavior of Vessels in the Maritime Domain

Mathias Anneken, Yvonne Fischer, Jürgen Beyerer

Abstract

The automatic detection of suspicious behavior is one important part in order to support operators in surveillance tasks. Therefore, an approach to model the behavior of objects by using multi-agent systems is introduced. As each object has its own objectives and desires to fulfill, these are modeled as utility functions. The actions of the objects are estimated by using the Nash bargaining solution. Consequently, it is implied, that the objects are cooperating in order to achieve an optimal result for themselves. First results for this algorithm are shown by using examples from the maritime domain. On the one hand, the algorithm is used to calculate an anomaly score. On the other hand, it is used to predict the movement of vessels.

References

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Paper Citation


in Harvard Style

Anneken M., Fischer Y. and Beyerer J. (2017). A Multi-agent Approach to Model and Analyze the Behavior of Vessels in the Maritime Domain . In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-219-6, pages 200-207. DOI: 10.5220/0006192002000207


in Bibtex Style

@conference{icaart17,
author={Mathias Anneken and Yvonne Fischer and Jürgen Beyerer},
title={A Multi-agent Approach to Model and Analyze the Behavior of Vessels in the Maritime Domain},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2017},
pages={200-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006192002000207},
isbn={978-989-758-219-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - A Multi-agent Approach to Model and Analyze the Behavior of Vessels in the Maritime Domain
SN - 978-989-758-219-6
AU - Anneken M.
AU - Fischer Y.
AU - Beyerer J.
PY - 2017
SP - 200
EP - 207
DO - 10.5220/0006192002000207