Skip to main content
SpringerLink
Log in

Regulation Function of the Environment in Agent-Based Simulation

  • Conference paper
Environments for Multi-Agent Systems III (E4MAS 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4389))

Included in the following conference series:

Abstract

The notion of environment as a first class abstraction in Multi–Agent Systems (MAS) has affirmed itself both as a necessary element of the related models and systems, and as useful source of concepts and mechanisms for their design and implementation. However, the functions and responsibilities that the environment should accomplish in different application contexts are still under debate in the agent research community. This paper is focused on agent-based simulation and in particular on the regulation function of the environment, which is a crucial factor supporting the enforcement of the required level of realism in the dynamics generated by the simulation system. In particular, the paper shows that the MAS based simulation context provides features that require a peculiar balance between agent autonomy and environment control on the overall system dynamics.

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Weyns, D., Omicini, A., Odell, J.: Environment as a First Class Abstraction in Multiagent Systems. Autonomous Agents Multi-Agent Systems 14, 5–30 (2007)

    Article  Google Scholar 

  2. Weyns, D., Parunak, H.V.D., Michel, F. (eds.): E4MAS 2004. LNCS (LNAI), vol. 3374. Springer, Heidelberg (2005)

    Google Scholar 

  3. Weyns, D., Parunak, H.V.D., Michel, F. (eds.): E4MAS 2005. LNCS (LNAI), vol. 3830. Springer, Heidelberg (2006)

    Google Scholar 

  4. Mařík, V., Pěchouček, M., Štěphanková, O.: Social Knowledge in Multi-Agent Systems. In: Luck, M., Mařík, V., Štěpánková, O., Trappl, R. (eds.) ACAI 2001 and EASSS 2001. LNCS (LNAI), vol. 2086, pp. 211–245. Springer, Heidelberg (2001)

    Google Scholar 

  5. Schumacher, M., Ossowski, S.: The Governing Environment. In: Weyns, D., Parunak, H.V.D., Michel, F. (eds.) E4MAS 2005. LNCS (LNAI), vol. 3830, pp. 88–104. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  6. Sichman, J.S., Conte, R., Gilbert, N. (eds.): Multi-Agent Systems and Agent-Based Simulation. LNCS (LNAI), vol. 1534, pp. 4–6. Springer, Heidelberg (1998)

    Google Scholar 

  7. Moss, S., Davidsson, P. (eds.): MABS 2000. LNCS (LNAI), vol. 1979. Springer, Heidelberg (2001)

    Google Scholar 

  8. Sichman, J.S., Bousquet, F., Davidsson, P. (eds.): MABS 2002. LNCS (LNAI), vol. 2581. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  9. Hales, D., Edmonds, B., Norling, E., Rouchier, J.: Multi-Agent-Based Simulation III. LNCS, vol. 2927. Springer, Heidelberg (2003)

    Google Scholar 

  10. Davidsson, P., Logan, B., Takadama, K. (eds.): MABS 2004. LNCS (LNAI), vol. 3415. Springer, Heidelberg (2005)

    Google Scholar 

  11. Sichman, J.S., Antunes, L. (eds.): MABS 2005. LNCS (LNAI), vol. 3891. Springer, Heidelberg (2006)

    Google Scholar 

  12. Bandini, S., Petta, P., Vizzari, G. (eds.): International Symposium on Agent Based Modeling and Simulation (ABModSim 2006). Cybernetics and Systems 2006, Austrian Society for Cybernetic Studies – 18th European Meeting on Cybernetics and Systems Research (EMCSR 2006) (2006)

    Google Scholar 

  13. Dosi, G., Fagiolo, G., Roventini, A.: An Evolutionary Model of Endogenous Business Cycles. Computational Economics 27, 3–34 (2006)

    Article  MATH  Google Scholar 

  14. Weyns, D., Boucké, N., Holvoet, T.: Gradient Field-Based Task Assignment in an AGV Transportation System. In: AAMAS ’06: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems, ACM Press, pp. 842–849. ACM Press, New York (2006)

    Chapter  Google Scholar 

  15. Bandini, S., Celada, F., Manzoni, S., Puzone, R., Vizzari, G.: Modelling the Immune System with Situated Agents. In: Apolloni, B., Marinaro, M., Nicosia, G., Tagliaferri, R. (eds.) WIRN 2005 and NAIS 2005. LNCS, vol. 3931, pp. 231–243. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  16. Bazzan, A.L.C., Wahle, J., Klügl, F.: Agents in Traffic Modelling - from Reactive to Social Behaviour. In: Burgard, W., Christaller, T., Cremers, A.B. (eds.) KI-99: Advances in Artificial Intelligence. LNCS (LNAI), vol. 1701, pp. 303–306. Springer, Heidelberg (1999)

    Chapter  Google Scholar 

  17. Wahle, J., Schreckenberg, M.: A Multi-Agent System for On-Line Simulations Based on Real-World traffic data. In: Annual Hawaii International Conference on System Sciences (HICSS-34), IEEE Computer Society Press, Los Alamitos (2001)

    Google Scholar 

  18. Balmer, M., Nagel, K.: Shape Morphing of Intersection Layouts Using Curb Side Oriented Driver Simulation. In: van Leeuwen, J.P., Timmermans, H.J. (eds.) Innovations in Design & Decision Support Systems in Architecture and Urban Planning, pp. 167–183. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  19. Batty, M.: Agent Based Pedestrian Modeling (editorial). Environment and Planning B: Planning and Design 28, 321–326 (2001)

    Article  Google Scholar 

  20. Helbing, D., Schweitzer, F., Keltsch, J., Molnár, P.: Active Walker Model for the Formation of Human and Animal Trail Systems. Physical Review E 56, 2527–2539 (1997)

    Article  Google Scholar 

  21. Schadschneider, A., Kirchner, A., Nishinari, K.: CA Approach to Collective Phenomena in Pedestrian Dynamics. In: Bandini, S., Chopard, B., Tomassini, M. (eds.) ACRI 2002. LNCS, vol. 2493, pp. 239–248. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  22. Bandini, S., Manzoni, S., Vizzari, G.: Situated Cellular Agents: a Model to Simulate Crowding Dynamics. IEICE Transactions on Information and Systems: Special Issues on Cellular Automata E87-D, 669–676 (2004)

    Google Scholar 

  23. Henein, C.M., White, T.: Agent-Based Modelling of Forces in Crowds. In: Davidsson, P., Logan, B., Takadama, K. (eds.) MABS 2004. LNCS (LNAI), vol. 3415, pp. 173–184. Springer, Heidelberg (2005)

    Google Scholar 

  24. Weyns, D., Holvoet, T.: From Reactive Robots to Situated Multi–Agent Systems: a Historical Perspective on the Role of Environment in Multi–Agent Systems. In: Dikenelli, O., Gleizes, M.-P., Ricci, A. (eds.) ESAW 2005. LNCS (LNAI), vol. 3963, pp. 63–88. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  25. Weyns, D., Schelfthout, K., Holvoet, T., Lefever, T.: Decentralized Control of E’GV Transportation Systems. In: AAMAS Industrial Applications, pp. 67–74. ACM Press, New York (2005)

    Google Scholar 

  26. Gilbert, N., Troitzsch, K.G.: Simulation for the Social Scientist, 2nd edn. Open University Press (2005)

    Google Scholar 

  27. Pyka, A., Fagiolo, G.: Agent-Based Modelling: A Methodology for Neo-Schumpeterian Economics. In: The Elgar Companion to Neo-Schumpeterian Economics. Edward Elgar (in press)

    Google Scholar 

  28. Klügl, F., Fehler, M., Herrler, R.: About the Role of the Environment in Multi-Agent Simulations. In: Weyns, D., Parunak, H.V.D., Michel, F. (eds.) E4MAS 2004. LNCS (LNAI), vol. 3374, pp. 127–149. Springer, Heidelberg (2005)

    Google Scholar 

  29. Gouaich, A., Michel, F., Guiraud, Y.: MIC*: a Deployment Environment for Autonomous Agents. In: Weyns, D., Parunak, H.V.D., Michel, F. (eds.) E4MAS 2004. LNCS (LNAI), vol. 3374, pp. 109–126. Springer, Heidelberg (2005)

    Google Scholar 

  30. Weyns, D., Vizzari, G., Holvoet, T.: Environments for Situated Multi-Agent Systems: Beyond Infrastructure. In: Weyns, D., Parunak, H.V.D., Michel, F. (eds.) E4MAS 2005. LNCS (LNAI), vol. 3830, pp. 1–17. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  31. Weyns, D., Parunak, H.V.D., Michel, F., Holvoet, T., Ferber, J.: Environments for Multiagent Systems State-of-the-Art and Research Challenges. In: Weyns, D., Parunak, H.V.D., Michel, F. (eds.) E4MAS 2004. LNCS (LNAI), vol. 3374, pp. 1–47. Springer, Heidelberg (2005)

    Google Scholar 

  32. Ferber, J., Müller, J.P.: Influences and Reaction: a Model of Situated Multiagent Systems. In: Proceedings of the 2th International Conference on Multi-agent Systems, pp. 72–79. AAAI Press, Menlo Park (1996)

    Google Scholar 

  33. Weyns, D., Holvoet, T.: A Formal Model for Situated Multi-Agent Systems. Fundamenta Informticae 63, 125–158 (2004)

    MATH  MathSciNet  Google Scholar 

  34. Klüpfel, H.: A Cellular Automaton Model for Crowd Movement and Egress Simulation. PhD thesis, University Duisburg-Essen (2003)

    Google Scholar 

  35. Bandini, S., Manzoni, S., Vizzari, G.: Situated Agents Interaction: Coordinated Change of State for Adjacent Agents. In: Malyshkin, V. (ed.) PaCT 2005. LNCS, vol. 3606, pp. 114–128. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  36. Helleboogh, A., Vizzari, G., Uhrmacher, A., Michel, F.: Modeling Dynamic Environments in Multi-Agent Simulation. Autonomous Agents and Multi-Agent Systems 14, 87–116 (2007)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Informatics, Systems and Communication, Università degli Studi di Milano–Bicocca, Via Bicocca degli Arcimboldi, 8 20126 Milan, Italy

    Stefania Bandini & Giuseppe Vizzari

Authors
  1. Stefania Bandini
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Giuseppe Vizzari
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Danny Weyns H. Van Dyke Parunak Fabien Michel

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Bandini, S., Vizzari, G. (2007). Regulation Function of the Environment in Agent-Based Simulation. In: Weyns, D., Parunak, H.V.D., Michel, F. (eds) Environments for Multi-Agent Systems III. E4MAS 2006. Lecture Notes in Computer Science(), vol 4389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71103-2_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-71103-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71102-5

  • Online ISBN: 978-3-540-71103-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation