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A multi-agent approach to model and analyze the behavior of vessels in the maritime domain

: Anneken, M.; Fischer, Yvonne; Beyerer, Jürgen


Herik, Jaap van den (Ed.) ; Institute for Systems and Technologies of Information, Control and Communication -INSTICC-, Setubal:
9th International Conference on Agents and Artificial Intelligence, ICAART 2017. Proceedings. Vol.1 : February 24-26, 2017, in Porto, Portugal
SciTePress, 2017
ISBN: 978-989-758-219-6
International Conference on Agents and Artificial Intelligence (ICAART) <9, 2017, Porto>
Conference Paper
Fraunhofer IOSB ()

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.