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Interactive Agent-Based Simulation Environment of SABER

  • Akira Sasaki
  • Hiroshi Deguchi

Abstract

In this paper, we describe SABER - Simulator for Agent Based Education Architecture. SABER provides an interactive simulation environment that employs methodology of agent based modeling. Users can model virtual worlds and run the models on SABER. SABER provides tools for visual programming suitable for rapid prototyping especially for teachers to construct educational material. Through user interfaces of SABER, users can access objects on their model during simulation runtime, and can update states and behavior of objects on-the-fly. Using teachers’ material on SABER, students can understand the model deeply by freely updating or enlarging the model.

Keywords

Rapid Prototype Virtual World Simulation Engine Programming Methodology Common Lisp 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Sasaki A, Ishiyama K, Deguchi H (2006) SABER — Simulator for Agent Based Education Architecture-. In: Proc. of the Fourth International Conference on Creating, Connecting and Collaborating through Computing (C5 2006), IEEE Computer Society Press, Washington, DC, pp 246–253.CrossRefGoogle Scholar
  2. 2.
    Deguchi H, Tanuma H, Shimizu T (2004) SOARS: Spot Oriented Agent Role Simulator — Design and Agent Based Dynamical System-. In: Proc. on the Third International Workshop on Agent-Based Approaches in Economic and Social Complex Systems (AESCS04). pp 49–56Google Scholar
  3. 3.
    Ingalls D, Kaehler T, Maloney M, Wallace S, and Kay A (1997) Back to the future — the story of Squeak, a practical Smalltalk written in itself. In: Berman AM ed, Proc. on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA). ACM Press, New York, NY, pp 318–326Google Scholar
  4. 4.
    Lotka AJ (1956) Elements of Mathematical Biology. Dover, NY.MATHGoogle Scholar
  5. 5.
    Steel Jr G (1990) Common Lisp, The Language, 2nd edn. Digital Press, Newton, MA.Google Scholar
  6. 6.
    Hashizume T (2005) Introduction to Business Risk Analysis. Waseda Univ. Publishing, Tokyo (in Japanese).Google Scholar
  7. 7.
    Papert S (1980) Mindstorms. Basic Books, New York, NY.Google Scholar
  8. 8.
    Ungar D, Smith RB (1987) Self: The Power of Simplicity. In: Meyrowitz N ed, Proc. on Object-oriented programming systems, languages and applications (OOPSLA). ACM Press, New York, NY, pp 227–241.CrossRefGoogle Scholar
  9. 9.
    AgentSheets: http://agentsheets.com URL.Google Scholar
  10. 10.
    Swarm Development Group (1999) Swarm, www.swarm.org. Swarm Development Group, Santa Fe.Google Scholar
  11. 11.
    Parker MT (2000) Ascape: Abstracting Complexity. http://www.brookings.edu/dybdocroot/es/dynamics/models/ascape/20000301_ascape.pdf URL.Google Scholar

Copyright information

© Springer 2007

Authors and Affiliations

  • Akira Sasaki
    • 1
  • Hiroshi Deguchi
    • 2
  1. 1.Hosei UniversityTokyoJapan
  2. 2.Tokyo Institute of TechnologyYokohamaJapan

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