Can Agent-Based Models Assist Decisions on Large-Scale Practical Problems: A Philosophical Analysis

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Gross, Dominique ; Strand, Roger (2000)

The use of predictive agent-based models as decision assisting tools in practical problems has been proposed. This article aims at a theoretical clarification of the conditions for such use under what has been called post-normal problems, characterized by high stakes, high and possibly irreducible uncertainties, and high systemic complexity. Our argument suggests that model validation is often impossible under post-normal conditions; however, predictive models can still be useful as learning devices (heristic purposes, formal Gedanken experiments). In this case, micro-structurally complex models are to be preferred to micro-structurally simple ones; this is illustrated by means of two examples.
  • References (34)
    34 references, page 1 of 4

    1. Kuhn, T. The Structure of Scientific Revolutions. University of Chicago Press: Chicago, 1962.

    2. Funtowicz, S; Ravetz, J. Futures 1993, 25(7), 739.

    3. Funtowicz, S; Ravetz, V. Environ Toxicol Chem 1994, 13(12):1881.

    4. Martinez-Alier, J.; Schlu¨pmann, K. Ecological Economics: Energy, Environment and Society. Basil Blackwell: London, 1987.

    5. 1999. Futures Special Issue. Post-normal Sciences 1999, 31(7).

    6. Young, P.; Parkinson, S.; Lees, M. J Appl Stat 1996, 23, 165.

    7. Casti, J. Would-Be Worlds. John Wiley & Sons: New York, 1997.8. Judson, O. Tree 1994, 9(1), 9.

    9. Sardar, Z; Ravetz, J. Futures 1994, 26(6), 563.

    10. Arthur, W. Science 1999, 248, 107.

    11. Bak, P. How Nature Works. Oxford University Press, 1997.

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