How Models Fail
A Critical Look at the History of Computer Simulations of the Evolution of Cooperation

Eckhart Arnold

1 Introduction
2 The empirical failure of simulations of the evolution of cooperation
3 Justificatory narratives
4 Bad excuses for bad methods and why they are wrong
    4.1 “Our knowledge is limited, anyway”
    4.2 “One can always learn something from failure”
    4.3 “Models always rely on simplification”
    4.4 “There are no alternatives to modeling”
    4.5 “Modeling promotes a scientific habit of mind”
    4.6 “Division of labor in science exempts theoreticians from empirical work”
    4.7 “Success within the scientific community proves scientific validity”
    4.8 “Natural sciences do it just the same way”
    4.9 Concluding remarks
5 History repeats itself: Comparison with similar criticisms of naturalistic or scientistic approaches

4.9 Concluding remarks

None of the arguments discussed above appear to be particularly pervasive in the first place. Never the less I believe they are worth being discussed, because - like the previously described narratives - they help to keep the spirits of the scientists up even in face of apparent failure. Just like social prejudices they need to be made explicit to be overcome.

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