Skip to main content
SpringerLink
Log in
Book cover

International Workshop on Multi-Agent Systems and Agent-Based Simulation

MABS 2002: Multi-Agent-Based Simulation II pp 142–154Cite as

On the Simulation of Multiagent-Based Regulators for Physiological Processes

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2581))

Abstract

The multiagent approach allows to effectively address and manage the complex regulation of physiological processes. In this paper we argue why multiagent regulating systems need to be simulated in order to assess the properties of interest. In particular, we consider a multiagent regulator of the glucose-insulin metabolism and we show how the effectiveness of its control activity and other salient properties of this system can be derived from simulation.

This is a preview of subscription content, 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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Goldberger, A. L., West, B. J.: Chaos in physiology: health or disease. In Holteon, A., Olsen, L. F., eds.: Chaos in Biological Systems. Plenum Press (1987) 1–5

    Google Scholar 

  2. Amigoni, F., Gatti, N., Somalvico, M.: A multiagent interaction paradigm for physiological process control. In: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems, Part 1, Bologna, Italy (2002) 215–216

    Google Scholar 

  3. Amigoni, F., Dini, M., Gatti, N., Somalvico, M.: Anthropic agency: a multi agent system for physiological processes. Artificial Intelligence in Medicine (2003) In press.

    Google Scholar 

  4. Moss, S., Davidsson, P., eds.: Multi Agent Based Simulation. Springer Verlag (2000) LNCS series 1979.

    Google Scholar 

  5. Davidsson, P.: Multi agent based simulation: Beyond social simulation. In Moss, S., Davidsson, P., eds.: Multi Agent Based Simulation. Springer Verlag (2000) LNCS series 1979.

    Google Scholar 

  6. Amigoni, F., Schiaffonati, V., Somalvico, M.: Dynamic agency: Models for creative production and technology applications. In Riva, G., Davide, F., eds.: Communications Through Virtual Technology: Identity, Community, and Technology in Internet Age. IOS Press (2001) 167–192

    Google Scholar 

  7. Minsky, M.: The Society of Mind. Simon & Schuster, New York, USA (1985)

    Google Scholar 

  8. West, B. J.: Fractal Physiology and Chaos in Medicine. World Scientific (1990)

    Google Scholar 

  9. Lee, J. J., Norris, W. D., Fishwick, P. A.: An object-oriented multimodel approach to integrate planning, intelligent control and simulation. In: Proceedings of the Fourth Annual Conference on AI, Simulation, and Planning in High Autonomy Systems. (1993) 267–273

    Google Scholar 

  10. Wooldridge, M., Jennings, N. R.: Intelligent agents: Theory and practice. Knowledge Engineering Review 10 (1995) 115–152

    Article  Google Scholar 

  11. Cobelli, C., Nucci, G., Prato, S. D.: A physiological simulation model of the glucoseinsulin system. In: Proceedings of the First Joint Meeting BMES/EMBS Conference, Atlanta, GA, IEEE Computer Society Press (1999)

    Google Scholar 

  12. Rutscher, A., Salzsieder, E., Fischer, U.: Kadis: Model-aided education in type i diabetes, karlsburg diabetes management system. Comput-Methods-Programs-Biomed. 41 (1994) 205–215

    Article  Google Scholar 

  13. Waldhausl, W. K., Bratusch-Marrain, P., Komjati, M., Breitenecker, F., Troch, I.: Blood glucose response to stress hormone exposure in healthy man and insulin dependent diabetic patients: Prediction by computer modeling. IEEE Transaction on Biomedical Engineering 39 (1992) 779–790

    Article  Google Scholar 

  14. Davidsson, P.: Agent based social simulation: A computer science view. Journal of Artificial Societies and Social Simulation 5 (2002) http://jasss.soc.surrey.ac.uk/5/1/7.html.

  15. Amigoni, F., Somalvico, M., Zanisi, D.: A theoretical framework for the conception of agency. International Journal of Intelligent Systems 14 (1999) 449–474

    Article  MATH  Google Scholar 

  16. Weiss, G.: Multiagent Systems: A modern approach to distributed Artificial Intelligence. The MIT Press, Cambridge, MA, USA (1999)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnico di Milano, Piazza Leonardo da Vinci 32, I-20133, Milano, Italy

    Francesco Amigoni & Nicola Gatti

Authors
  1. Francesco Amigoni
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Nicola Gatti
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Polytechnical School Computer Engineering Department Intelligent Techniques Laboratory, University of São Paulo, Av. Prof. Luciano Gualberto, 158, travessa 3, 05424-970, São Paulo, Brazil

    Jaime Simão Sichman

  2. IRRI-Cirad, P.O. Box 9-159, Chatuchak, 10900, Bangkok, Thailand

    Françcois Bousquet

  3. Department of Software Engineering and Computer Science, Blekinge Institute of Technology, P.O. Box 520, 372 25, Ronneby, Sweden

    Paul Davidsson

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Amigoni, F., Gatti, N. (2003). On the Simulation of Multiagent-Based Regulators for Physiological Processes. In: Simão Sichman, J., Bousquet, F., Davidsson, P. (eds) Multi-Agent-Based Simulation II. MABS 2002. Lecture Notes in Computer Science(), vol 2581. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36483-8_10

Download citation

  • DOI: https://doi.org/10.1007/3-540-36483-8_10

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00607-7

  • Online ISBN: 978-3-540-36483-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation