Skip to main content

An Architecture for MAS Simulation Environments

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3830))

Abstract

In this paper, we discuss the model of an environment for a geographically based simulation system. The environment is structured as a graph in which nodes represent locations and edges represent paths between locations. The space is decomposed into a network of cells which are managed by cell controllers. In order to visualize location information at various levels of abstraction, we define the environment as a cell hierarchy.

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   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. Weyns, D., Parunak, H.V.D., Michel, F.: Environments for multiagent systems: State-of-the-art and research challenges. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds.) E4MAS 2004. LNCS, vol. 3374, pp. 1–47. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  2. Bellifemine, F., Poggi, A., Rimassa, G., Turci, P.: An object-oriented framework to realize agent systems. Technical report, Universit di ParmaArizona, Italy (2000)

    Google Scholar 

  3. Howden, Ralph Ronnquist, A.H., Lucas, A.: Jack — summary of an agent infrastructure. In: 5th International Conference on Autonomous Agents (2001)

    Google Scholar 

  4. Chauhan, D.: JAFMAS: A Java-Based Agent Framework for Multi-Agent Systems Development and Implementation. PhD thesis, University of Cincinnati (1997)

    Google Scholar 

  5. Sycara, K., Paolucci, M., Van-Velsen, M., Giampapa, J.: The retsina mas infrastructure. Special joint issue of Autonomous Agents and MAS 7 (2003)

    Google Scholar 

  6. Nwana, H., Ndumu, D., Lee, L.: Zeus: An advanced tool-kit for engineering distributed multi-agent systems. In: Proceedings of PAAM 1998, London UK, pp. 377–391 (1998)

    Google Scholar 

  7. Rogers, T., Ross, R., Subrahmanian, V.: Impact: A system for building agent applications. Journal of Intelligent Information Systems 13 (1999)

    Google Scholar 

  8. Sloman, A., Poli, R.: SIM AGENT: A toolkit for exploring agent designs. In: Tambe, M., Müller, J., Wooldridge, M.J. (eds.) IJCAI-WS 1995 and ATAL 1995. LNCS, vol. 1037, p. 392. Springer, Heidelberg (1996)

    Chapter  Google Scholar 

  9. Technologies, B.: Cougaar architecture document. Available from BBN Technologies over the Internet (accessed, November 2005), http://www.cougaar.org

  10. Cabri, G., Leonardi, L., Zambonelli, F.: Mars: A programmable coordination architecture for mobile agents. In: IEEE Internet Computing (2000)

    Google Scholar 

  11. Sun Microsystems, Inc: The JavaSpaces v1.2.1 Specification (2002)

    Google Scholar 

  12. Schelfthout, K., Holvoet, T.: An environment for coordination of situated multi-agent systems. In: First International Workshop on Environments for Multiagent Systems, New York, USA (2004)

    Google Scholar 

  13. Julien, C., Roman, G.: Egocentric context-aware programming in ad hoc mobile environments. In: 10th International Symposium on the Foundations of Software Engineering, Charleston, USA (2002)

    Google Scholar 

  14. Mamei, M., Zambonelli, F., Leonardi, L.: Tuples on the air: A middleware for context-aware computing in dynamic networks. In: ICDCS Workshop (2003)

    Google Scholar 

  15. Murphy, A., Picco, G., Roman, G.: Lime: a middleware for physical and logical mobility. In: 21st International Conference on Distributed Computing Systems (2001)

    Google Scholar 

  16. Mamei, M., Leonardi, L., Zambonelli, F.: Co-fields: Towards a unifying approach to the engineering of swarm intelligent systems. In: Petta, P., Tolksdorf, R., Zambonelli, F. (eds.) ESAW 2002. LNCS, vol. 2577, pp. 68–81. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  17. Brueckner, S.: Return from the Ant. PhD thesis, Humboldt-Universitt, Berlin, Germany (2000)

    Google Scholar 

  18. Collier, N.: Repast: An extensible framework for agent simulation. Available from RePast Group over the Internet (accessed, November 2005), http://repast.sourceforge.net/

  19. Luke, S., Cioffi-Revilla, C., Panait, L., Sullivan, K.: Mason: A new multi-agent simulation toolkit. In: Proceedings of the SwarmFest Workshop, Michigan, USA (2004)

    Google Scholar 

  20. Ferber, J.: Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence. Addison Wesley, Reading (1999)

    Google Scholar 

  21. Mili, R.Z., Oladimeji, E., Steiner, R.: Design of the divas simulation system. Technical Report UTDCS-11-05, University of Texas at Dallas, USA (2005)

    Google Scholar 

  22. Oladimeji, E., Mili, R., Shakya, U.: Towards an abstract agent architecture for mas simulation systems. Technical Report UTDCS-12-05, University of Texas at Dallas, USA (2005)

    Google Scholar 

  23. Mili, R., Leask, G., Steiner, R., Oladimeji, E.: Architecture and design viewpoints for agent-environment systems. Technical Report UTDCS-43-04, University of Texas at Dallas, USA (2004)

    Google Scholar 

  24. Mili, R., Leask, G., Shakya, U., Steiner, R., Oladimeji, E.: Architectural design of the divas environment. In: Proceedings of 1st workshop on Environments for Multiagent Systems, New York, USA (2004)

    Google Scholar 

  25. Leask, G.: Two dimentional environment for the divas multi-agent system. Master’s thesis, University of Texas at Dallas, USA (2005)

    Google Scholar 

  26. Pezzulo, G., Calvi, G.: Designing and implementing mabs in akira. In: Davidsson, P., Logan, B., Takadama, K. (eds.) MABS 2004. LNCS (LNAI), vol. 3415, pp. 49–64. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  27. Lees, M., Logan, B., Minson, R., Oguara, T., Theodoropoulos, G.: Distributed simulation of mas. In: Davidsson, P., Logan, B., Takadama, K. (eds.) MABS 2004. LNCS (LNAI), vol. 3415, pp. 25–36. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Steiner, R., Leask, G., Mili, R.Z. (2006). An Architecture for MAS Simulation Environments. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds) Environments for Multi-Agent Systems II. E4MAS 2005. Lecture Notes in Computer Science(), vol 3830. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11678809_4

Download citation

  • DOI: https://doi.org/10.1007/11678809_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32614-4

  • Online ISBN: 978-3-540-32615-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics