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Serious Games for Economists

In: Complexity and Artificial Markets

Author

Listed:
  • Wilbert Grevers

    (University of Groningen)

  • Anne Veen

    (International Institute for Geo-Information Science and Earth Observation)

Abstract

This chapter explores the methodological issues of modelling human behaviour at the relatively high abstraction level of the differences between individual-based and systems perspectives. Following earlier literature it will be argued that formal frameworks in the social sciences are essentially deductive, as they can be read as implications derived from a set of axioms, or postulates. However, in the social sciences implications derived from postulates do not necessarily have a one-to-one correspondence with empirical observations. This marks an important difference with the natural sciences, highlighted by the possibility in the social sciences of choosing one of several formal frameworks. Therefore, a criterion is needed for judging the explanatory value of a model. An attractive criterion, based on computer simulations using agent-based models, is the possibility of replicating a stylised version of an observed phenomenon. We argue that parallel to efforts taken in this direction, agent-based methods could also benefit from so-called serious games, where techniques from Artificial Intelligence in computer games are adapted for purposes other than entertainment.

Suggested Citation

  • Wilbert Grevers & Anne Veen, 2008. "Serious Games for Economists," Lecture Notes in Economics and Mathematical Systems, in: Klaus Schredelseker & Florian Hauser (ed.), Complexity and Artificial Markets, chapter 13, pages 159-171, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-70556-7_13
    DOI: 10.1007/978-3-540-70556-7_13
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    Cited by:

    1. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-3.

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