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Scrutable Multi-agent Hazard Rescue System

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Intelligent Distributed Computing IX

Part of the book series: Studies in Computational Intelligence ((SCI,volume 616))

Abstract

Time-efficient and competent intervention in environmental hazard situations is critical. Numerous experts on the field have to be coordinated and the most appropriate one(s) should be sent to the danger zone. A traditional system would require a lot of effort on the part of the people involved, but would also involve the risk of not taking the best decisions under pressure. We propose an automated system that incorporates multiple autonomous agents, negotiation and argumentation techniques that is not only capable of making rational selections, but which can also provide justifications for the decisions it takes. Making transparent decisions is fundamental for gaining the people’s trust in this solution, but can also be used for learning purposes and for fine-tuning parameters. The system, which involves a command center and a dedicated smartphone app for the field experts, has been tested in a simulated experimental scenario around the area of Craiova, Romania.

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Notes

  1. 1.

    FIPA Specifications available at http://www.fipa.org.

  2. 2.

    \( \tau\, \notin\, \texttt{L} \) represents “true” and stands for the empty body of rules.

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Acknowledgement

This work was supported by the strategic grant POSDRU/ 159/1.5/S/133255, Project ID 133255 (2014), co-financed by the European Social Fund within the Sectorial Operational Program Human Resources Development 2007–2013.

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Correspondence to Andrei Mocanu .

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Mocanu, A., Bădică, C. (2016). Scrutable Multi-agent Hazard Rescue System. In: Novais, P., Camacho, D., Analide, C., El Fallah Seghrouchni, A., Badica, C. (eds) Intelligent Distributed Computing IX. Studies in Computational Intelligence, vol 616. Springer, Cham. https://doi.org/10.1007/978-3-319-25017-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-25017-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25015-1

  • Online ISBN: 978-3-319-25017-5

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