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  1. What Good Are Abstract and What-If Models? Lessons From the Gaïa Hypothesis.Sébastien Dutreuil - 2014 - History and Philosophy of the Life Sciences 36 (1):16-41.
    This article on the epistemology of computational models stems from an analysis of the Gaia hypothesis (GH). It begins with James Kirchner’s criticisms of the central computational model of GH: Daisyworld. Among other things, the model has been criticized for being too abstract, describing fictional entities (fictive daisies on an imaginary planet) and trying to answer counterfactual (what-if) questions (how would a planet look like if life had no influence on it?). For these reasons the model has been considered not (...)
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  • The Social Life of Scientific Theories: A Case Study From Behavioral Sciences. [REVIEW]Helen E. Longino - 2013 - Biological Theory 7 (4):390-400.
    This article reports on the third phase of a comparative epistemological, ontological, and social analysis of a variety of approaches to investigating human behavior. In focusing on the fate of scientific ideas once they leave the context in which they were developed, I hope not only to show that their communication for a broader audience imposes a shape on their interrelations different than they seem to have in the research context, but also to suggest that a study comparing different approaches (...)
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