Skip to main content

Multi-Agent Systems: A Paradigm to Design Ambient Intelligent Applications

  • Conference paper

Part of the book series: Studies in Computational Intelligence ((SCI,volume 315))

Abstract

In this paper we present a Multi-Agent System (MAS) paradigm and discuss how it can be used to design intelligent and distributed systems. The main features of this MAS, such as natural distribution of the system, inherent intelligence of its agents, and their mobility help address a large scope of distributed applications including the domain of ambient intelligence. Other features of the MAS, like multiagent planning, context-awareness and adaptation are also very useful since they bring added value, by allowing to implement intelligent and collective behavior. The paper also presents a scenario of ambient intelligence and shows how it could be designed using the MAS paradigm.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   219.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Baldauf, M., Dustdar, S., Rosenberg, F.: A survey on context-aware systems. International Journal of Ad Hoc and Ubiquitous Computing 2(4), 263–277 (2007)

    Article  Google Scholar 

  2. Bordini, R.H., Braubach, L., Dastani, M., Fallah-Seghrouchni, A.E., Gómez-Sanz, J.J., Leite, J., O’Hare, G.M.P., Pokahr, A., Ricci, A.: A survey of programming languages and platforms for multi-agent systems. Informatica (Slovenia) 30(1), 33–44 (2006)

    MATH  Google Scholar 

  3. Cardelli, L., Gordon, A.D.: Mobile ambients. Theor. Comput. Sci. 240(1), 177–213 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  4. Chen, G., Kotz, D.: A survey of context-aware mobile computing research. Technical Report TR2000-381, Dartmouth College (2000)

    Google Scholar 

  5. Dey, A., Abowd, G.: Towards a better understanding of context and context-awareness. In: CHI 2000 workshop on the what, who, where, when, and how of context-awareness, pp. 304–307 (2000)

    Google Scholar 

  6. Feng, L., Apers, P.M.G., Jonker, W.: Towards context-aware data management for ambient intelligence. In: Galindo, F., Takizawa, M., Traunmüller, R. (eds.) DEXA 2004. LNCS, vol. 3180, pp. 422–431. Springer, Heidelberg (2004)

    Google Scholar 

  7. Ferber, J.: Multi-agent systems: an introduction to distributed artificial intelligence. Addison-Wesley, Reading (1999)

    Google Scholar 

  8. Henricksen, K., Indulska, J.: Developing context-aware pervasive computing applications: Models and approach. Pervasive and Mobile Computing 2(1), 37–64 (2006)

    Article  Google Scholar 

  9. Henricksen, K., Indulska, J., Rakotonirainy, A.: Modeling context information in pervasive computing systems. LNCS, pp. 167–180. Springer, Heidelberg (2002), http://www.springerlink.com/content/jbxd2fd5ga045p8w/

    Google Scholar 

  10. Ramos, C., Augusto, J., Shapiro, D.: Ambient intelligence - the next step for artificial intelligence. IEEE Intelligent Systems 23(2), 15–18 (2008)

    Article  Google Scholar 

  11. Suna, A., El Fallah Seghrouchni, A.: Programming mobile intelligent agents: An operational semantics. Web Intelligence and Agent Systems 5(1), 47–67 (2004)

    Google Scholar 

  12. Viterbo, J., Mazuel, L., Charif, Y., Endler, M., Sabouret, N., Breitman, K., El Fallah Seghrouchni, A., Briot, J.: Ambient intelligence: Management of distributed and heterogeneous context knowledge. CRC Studies in Informatics Series, pp. 1–44. Chapman & Hall, Boca Raton (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

El Fallah Seghrouchni, A., Florea, A.M., Olaru, A. (2010). Multi-Agent Systems: A Paradigm to Design Ambient Intelligent Applications. In: Essaaidi, M., Malgeri, M., Badica, C. (eds) Intelligent Distributed Computing IV. Studies in Computational Intelligence, vol 315. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15211-5_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15211-5_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15210-8

  • Online ISBN: 978-3-642-15211-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics