Robustness and idealization in models of cognitive labor

Synthese 183 (2):161-174 (2011)
Scientific research is almost always conducted by communities of scientists of varying size and complexity. Such communities are effective, in part, because they divide their cognitive labor: not every scientist works on the same project. Philip Kitcher and Michael Strevens have pioneered efforts to understand this division of cognitive labor by proposing models of how scientists make decisions about which project to work on. For such models to be useful, they must be simple enough for us to understand their dynamics, but faithful enough to reality that we can use them to analyze real scientific communities. To satisfy the first requirement, we must employ idealizations to simplify the model. The second requirement demands that these idealizations not be so extreme that we lose the ability to describe real-world phenomena. This paper investigates the status of the assumptions that Kitcher and Strevens make in their models, by first inquiring whether they are reasonable representations of reality, and then by checking the models' robustness against weakenings of these assumptions. To do this, we first argue against the reality of the assumptions, and then develop a series of agent-based simulations to systematically test their effects on model outcomes. We find that the models are not robust against weakenings of these idealizations. In fact we find that under certain conditions, this can lead to the model predicting outcomes that are qualitatively opposite of the original model outcomes
Keywords modeling  idealization  robustness  agent-based model  simulation
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DOI 10.1007/s11229-010-9757-8
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References found in this work BETA
The Division of Cognitive Labor.Philip Kitcher - 1990 - Journal of Philosophy 87 (1):5-22.
The Role of the Priority Rule in Science.Michael Strevens - 2003 - Journal of Philosophy 100 (2):55-79.

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Citations of this work BETA
Diversity and the Division of Cognitive Labor.Ryan Muldoon - 2013 - Philosophy Compass 8 (2):117-125.
Kuhn Vs. Popper on Criticism and Dogmatism in Science, Part II: How to Strike the Balance.Darrell P. Rowbottom - 2013 - Studies in History and Philosophy of Science Part A 44 (2):161-168.

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