Skip to main content
SpringerLink
Log in

Multi-agent System for Management and Monitoring of Routes Surveillance

  • Conference paper
Hybrid Artificial Intelligence Systems (HAIS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5271))

Included in the following conference series:

Abstract

This paper presents a multi-agent system for security control on industrial environments. The system uses a set of wireless technologies and software agents which integrate reasoning and planning mechanisms. It has the ability to obtain automatic and real-time information about the context to schedule the security guards activities. The combination of technologies enables users to interact with the system in a simple, natural and intuitive way.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 179.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bauer, B., Huget, M.P.: FIPA Modeling: Agent Class Diagrams (2003)

    Google Scholar 

  2. Corchado, J.M., Bajo, J., De Paz, Y., Tapia, D.I.: Intelligent Environment for Monitoring Alzheimer Patients, Agent Technology for Health Care. Decision Support Systems 44(2), 382–396 (2008)

    Article  Google Scholar 

  3. Corchado, J.M., Bajo, J., Abraham, A.: GERAmI: Improving the delivery of health care. IEEE Intelligent Systems. Special Issue on Ambient Intelligence 23(2), 19–25 (2008)

    Google Scholar 

  4. Inology: Press note (June 9, 2005), http://www.controldetiempos.com/sala_de_prensa.htm#absentismo

  5. Jin, H.D., Leung, K.S., Wong, M.L., Xu, Z.B.: An Efficient Self-Organizing Map Designed by Genetic Algorithms for the Traveling Salesman Problem. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 33(6), 877–888 (2003)

    Article  Google Scholar 

  6. Kleindienst, J., Macek, T., Seredi, L., Sedivy, J.: Vision-enhanced multi-modal interactions in domotic environments. IBM Voice and systems technologies, Czech Republic (2004)

    Google Scholar 

  7. Kohonen, T.: Self-Organizing Maps. Springer, New York (1997)

    MATH  Google Scholar 

  8. Leung, K.S., Jin, H.D., Xu, Z.B.: An expanding Self-organizing Neural Network for the Traveling Salesman Problem. Neurocomputing 62, 267–292 (2004)

    Article  Google Scholar 

  9. Martín, Q., Santos, M.T., De Paz, Y.: Operations research: Resolute problems and exercises, Pearson, pp. 189–190 (2005)

    Google Scholar 

  10. Rigole, P., Holvoet, T., Berbers, Y.: Using Jini to integrate home automation in a distributed software-system. Computational Sciences Department, Belgium (2002)

    Google Scholar 

  11. Garfinkel, S., Rosenberg, B.: RFID: Applications, security, and privacy, pp. 15–36. Addison-Wesley Professional, Reading (2005)

    Google Scholar 

  12. Wooldridge, M., Jennings, N.R., Kinny, D.: The Gaia Methodology for Agent-Oriented Analysis and Design. Journal of Autonomous Agents and Multi-Agent Systems 3, 285–312 (2000)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Departamento de Informática y Automática, Universidad de Salamanca, Plaza de la Merced s/n, 37008, Salamanca, España,  

    Sara Rodríguez & Javier Bajo

Authors
  1. Sara Rodríguez
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Javier Bajo
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Escuela Politécnica Superior, GICAP Research Group, Universidad de Burgo, Calle Francisco de Vitoria S/N, Edifico C, Campus Vena, 09006, Burgos, Spain

    Emilio Corchado

  2. Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, 7491, Trondheim, Norway

    Ajith Abraham

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton,, T6G 2V4, Alberta, Canada

    Witold Pedrycz

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rodríguez, S., Bajo, J. (2008). Multi-agent System for Management and Monitoring of Routes Surveillance. In: Corchado, E., Abraham, A., Pedrycz, W. (eds) Hybrid Artificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science(), vol 5271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87656-4_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-87656-4_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87655-7

  • Online ISBN: 978-3-540-87656-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation