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Multi-agent-Based Framework for Prevention of Violence Against Women: Scenarios in Google Maps

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Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection (PAAMS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 473))

Abstract

This paper proposes a multi-agent-based framework for the prevention of violence against women. A general description of the proposed service is presented. The service takes advantage of the Internet of Things that are/will be available in the context of Smart Cities and mobile technologies (such as smart phones). Lastly, some typical domestic violence scenarios are simulated by using Google Maps API and the results are shown.

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References

  1. Mitchell, L.: Domestic violence in Australia: an overview of the issues. Background Note. Parliamentary Library, Canberra (2011)

    Google Scholar 

  2. Costa, B.M., Kaestle, C.E., Walker, A., Curtis, A., Day, A., Toumbourou, J.W., Miller, P.: Longitudinal predictors of domestic violence perpetration and victimization: a systematic review. Aggression and Violent Behavior 24, 261–272 (2015)

    Article  Google Scholar 

  3. Council of Europe. Working group on interagency cooperation for an integrated response to violence against women and domestic violence (2015). http://www.coe.int/en/web/

  4. Hatzelhoffer, L., Humboldt, K., Lobeck, M., Wiegandt, C.C.: Smart City in Practice: Innovation Lab Between Vision and Reality. Jovis (2012)

    Google Scholar 

  5. Svennerberg, G.: Beginning Google Maps API 3, 2nd edn. Apress, Berkely (2010)

    Book  Google Scholar 

  6. Gascueña, J.M., Fernández-Caballero, A.: On the use of agent technology in intelligent, multisensory and distributed surveillance. The Knowledge Engineering Review 26(2), 191–208 (2011)

    Article  Google Scholar 

  7. Pavón, J., Gómez-Sanz, J.J., Fernández-Caballero, A., Valencia-Jiménez, J.J.: Development of intelligent multisensor surveillance systems with agents. Robotics and Autonomous Systems 55(12), 892–903 (2007)

    Article  Google Scholar 

  8. Jennings, N.R.: Coordination techniques for distributed artificial intelligence. Foundations of Distributed Artificial Intelligence, pp. 187-210. John Wiley & Sons, Inc. (1996)

    Google Scholar 

  9. Shamma, J.S.: Cooperative Control of Distributed Multi-Agent Systems. Wiley-Interscience (2008)

    Google Scholar 

  10. Potiron, K., El Fallah Seghrouchni, A., Taillibert, P.: From Fault Classification to Fault Tolerance for Multi-Agent Systems. Springer (2013)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Instituto de Investigación En Informática de Albacete, Universidad de Castilla-La Mancha, 02071, Albacete, Spain

    Joaquin Losilla, Teresa Olivares & Antonio Fernández-Caballero

Authors
  1. Joaquin Losilla
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  2. Teresa Olivares
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  3. Antonio Fernández-Caballero
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Corresponding author

Correspondence to Antonio Fernández-Caballero .

Editor information

Editors and Affiliations

  1. Dept de Infor y Auto Facultad de Ciencia, University of Salamanca, Salamanca, Spain

    Fernando de la Prieta

  2. ETS Ingeniería Informática, University of Sevilla, Sevilla, Spain

    María J. Escalona

  3. ETSI Informática, Universidad de Sevilla, Sevilla, Spain

    Rafael Corchuelo

  4. and Technology, Lille University of Science, Villeneuve d'Ascq Cédex, France

    Philippe Mathieu

  5. GECAD, Porto, Portugal

    Zita Vale

  6. School of Computer Science, Dartmouth College, Hanover, USA

    Andrew T. Campbell

  7. Dept of Electrical Engineering and IT, University of Naples Federico II, Naples, Italy

    Silvia Rossi

  8. LAMIH (UMR CNRS 8530), Universite de Valenciennes, Valenciennes, France

    Emmanuel Adam

  9. Campus Catalunya, Universitat Rovira i Virgili, Tarragona, Spain

    María D. Jiménez-López

  10. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Elena M. Navarro

  11. Departamento de Informática y Automática, University of Salamanca, Salamanca, Salamanca, Spain

    María N. Moreno

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© 2016 Springer International Publishing Switzerland

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Losilla, J., Olivares, T., Fernández-Caballero, A. (2016). Multi-agent-Based Framework for Prevention of Violence Against Women: Scenarios in Google Maps. In: de la Prieta, F., et al. Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. PAAMS 2016. Advances in Intelligent Systems and Computing, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-319-40159-1_23

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  • DOI: https://doi.org/10.1007/978-3-319-40159-1_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-40158-4

  • Online ISBN: 978-3-319-40159-1

  • eBook Packages: EngineeringEngineering (R0)

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