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Mapping the Envelope of Social Simulation Trajectories

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Multi-Agent-Based Simulation (MABS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1979))

Abstract

In this paper we present a methodology aimed at systematically exploring the shape of the ‘envelope’ of simulation trajectories and the implicit theory that a simulation represents. Thus it complements methods like Monte Carlo analysis, the inspection of single scenarios and syntactical proof. We propose a method for searching for tendencies and proving their necessity relative to a range of parameterisations of the model and agents’ choices, and to the logic of the simulation language. This will allow us to dig up conclusions about tendencies for that fragment of the simulation theory given by the explored subspace of trajectories. Additionally, we propose and exemplifies a computational procedure that helps implement this exploration by translating the MAS simulation into a constraint-based search over possible trajectories by ‘compiling’ the simulation rules into a more specific form.

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References

  1. Axtell, R., R. Axelrod, J. M. Epstein, and M. D. Cohen, “Aligning Simulation Models: A Case of Study and Results”, Computational Mathematical Organization Theory, 1(2) (1996), pp. 123–141.

    Article  Google Scholar 

  2. Chiang, C.L., and R. C.T. Lee, Symbolic Logic and Mechanical Theorem Proving, Academic Press, London, UK, 1973

    Google Scholar 

  3. Domingo C., G. Tonella and O. Terán, “Generating Scenarios by Structural Simulation”, in AI, Simulation and Planning High Autonomy Systems, The Univ. of Arizona (1996), pp 331–336.

    Google Scholar 

  4. Edmonds, B., “Modelling Bounded Rationality In Agent-Based Simulations using the Evolution of Mental Models”. In Brenner, T. (Ed.), Computational Techniques for Modelling Learning in Economics, Kluwer (1999), 305–332.

    Google Scholar 

  5. Engelfriet, J., C. Jonker and J. Treur, “Compositional Verification of Multi-Agent Systems in Temporal Multi-Epistemic Logic”, AI Group, Vrije Universiteit Amsterdam, The Netherlands, (1998).

    Google Scholar 

  6. Konolige, K., “Autoepistemic Logic”, in Handbook of Logic in Artificial Intelligence and Logic Programming (4), Oxford Science Publications, 1995, pp. 217–295.

    Google Scholar 

  7. McCune, W. (1995), OTTER 3.0 Reference Manual Guide, Argonne National Laboratory, Argonne, IL, 1995.

    Google Scholar 

  8. Moss, S., H. Gaylard, S. Wallis, B. Edmonds, “SDML: A Multi-Agent Language for Organizational Modelling”, Computational Mathematical Organization Theory, 4(1) (1998), 43–69.

    Article  Google Scholar 

  9. Moss, S., B. Edmonds, S. Wallis, “Validation and Verification of Computational Models with Multiple Cognitive Agents”, Centre for Policy Modelling Report (1997), CPM-97-25, http://www.cpm.mmu.ac.uk/cpmrep25.html

  10. Wos, L., Automated Reasoning: 33 Basis Research Problems, Prentice Hall, New Jersey, USA, 1988.

    Google Scholar 

  11. Wos, L., Robinson, G. A., and Carson, D. F., “Efficiency and Completeness of the Set of Support Strategy in Theorem Proving”, J. ACM14,N°4 (1965), 698–709.

    Google Scholar 

  12. Zeigler, B., Theory of Modelling and Simulation, Robert E. Krieger Publishing Company, Malabar, Fl, USA, 1976.

    MATH  Google Scholar 

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© 2000 Springer-Verlag Berlin Heidelberg

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Terán, O., Edmonds, B., Wallis, S. (2000). Mapping the Envelope of Social Simulation Trajectories. In: Moss, S., Davidsson, P. (eds) Multi-Agent-Based Simulation. MABS 2000. Lecture Notes in Computer Science(), vol 1979. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44561-7_17

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  • DOI: https://doi.org/10.1007/3-540-44561-7_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41522-0

  • Online ISBN: 978-3-540-44561-6

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