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Agent Based Simulation for Social Systems: From Modeling to Implementation

  • Candelaria Sansores
  • Juan Pavón
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4177)

Abstract

This paper presents experimental results of our model-driven approach to agent based simulation. According to this, the development process for agent based simulation should focus on modeling rather than implementation (i.e., programming on some concrete agent simulation platform). This requires the use of transformation tools from simulation models to implementation code. Describing social phenomena with a visual, high-level modeling language and implementing the simulation in this way should facilitate the use of toolkits by experts in social sciences without a deep knowledge of programming concerns. This simulation approach is supported here by the INGENIAS Development Kit (IDK), which provides a model editor for multi-agent systems, and code generation support. To validate the transformation mechanism, we have modeled a concrete social system with the INGENIAS agent-oriented modeling language, and generated two independent implementations for two different platforms (Repast and Mason simulation toolkits). This experimentation shows the feasibility of the model driven implementation approach and has enabled the study of facilities provided by simulation toolkits that can have impact on the transformation process, in particular, the scheduling techniques. Also, comparing the simulation results of the case study with the original work and between implementations has led us to discover biases introduced by simulation mechanisms that can be found in most simulation platforms.

Keywords

Simulation Platform Simulation Toolkit Swarm System Schedule Agent Artificial Society 
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.
    Axtell, R.: Why Agents? On the Varied Motivations for Agent Computing in the Social Sciences, in Working Paper No. 17. 2000, center on Social and Economic Dynamics, The Brookings Institution: Washington, DCGoogle Scholar
  2. 2.
    Di Tosto, G., Conte, R., Paolucci, M.: Altruism Among Simple and Smart Vampires. In: Proceedings of the 1st Conference of the European Social Simulation Association (ESSA), Groningen, NL (2003)Google Scholar
  3. 3.
    Drogoul, A., Vanbergue, D., Meurisse, T.: Multi-agent Based Simulation: Where Are the Agents? In: Sichman, J.S., Bousquet, F., Davidsson, P., et al. (eds.) MABS 2002. LNCS (LNAI), vol. 2581, pp. 1–15. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  4. 4.
    Epstein, J.M., Axtell, R.: Growing artificial societies: social science from the bottom up. In: Complex adaptive systems, Brookings Institution Press, Washington, D.C (1996)Google Scholar
  5. 5.
    Gilbert, N., Troitzsch, K.G.: Simulation for the Social Scientist. Open University Press, Buckingham, U.K (1996)Google Scholar
  6. 6.
    Holland, J.H.: Emergence: from chaos to order. Addison-Wesley, Reading, Massachusetts (1998)MATHGoogle Scholar
  7. 7.
    Mason. 2004. Mason: Multiagent Simulation Toolkit. http://cs.gmu.edu/~eclab/projects/mason/
  8. 8.
    Moretti, S.: Computer Simulation in Sociology: What Contribution? Social Science Computer Review 20(1), 43–57 (2002)CrossRefGoogle Scholar
  9. 9.
    Pavón, J., Gómez-Sanz, J.: Agent Oriented Software Engineering with INGENIAS. In: Mařík, V., Müller, J.P., Pěchouček, M., et al. (eds.) CEEMAS 2003. LNCS (LNAI), vol. 2691, pp. 394–403. Springer, Heidelberg (2003)CrossRefGoogle Scholar
  10. 10.
    Repast. 2004. Repast: Recursive Porus Agent Simulation Toolkit. http://repast.sourceforge.net
  11. 11.
    Sansores, C., Pavón, J.: Agent-Based Simulation Replication: a Model Driven Architecture Approach. In: Gelbukh, A., de Albornoz, Á., Terashima-Marín, H., et al. (eds.) MICAI 2005. LNCS (LNAI), vol. 3789, pp. 244–256. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  12. 12.
    Sansores, C., Pavón, J., Gómez-Sanz, J.: Visual Modeling for Complex Agent-Based Simulation Systems. In: Sichman, J.S., Antunes, L., et al. (eds.) MABS 2005. LNCS (LNAI), vol. 3891, pp. 174–189. Springer, Heidelberg (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Candelaria Sansores
    • 1
  • Juan Pavón
    • 1
  1. 1.Dep. Sistemas Informáticos y ProgramaciónUniversidad Complutense de MadridMadridSpain

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