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  1. Scientific polarization.Cailin O’Connor & James Owen Weatherall - 2017 - European Journal for Philosophy of Science 8 (3):855-875.
    Contemporary societies are often “polarized”, in the sense that sub-groups within these societies hold stably opposing beliefs, even when there is a fact of the matter. Extant models of polarization do not capture the idea that some beliefs are true and others false. Here we present a model, based on the network epistemology framework of Bala and Goyal, 784–811 1998), in which polarization emerges even though agents gather evidence about their beliefs, and true belief yields a pay-off advantage. As we (...)
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  • Network Epistemology: Communication in Epistemic Communities.Kevin J. S. Zollman - 2013 - Philosophy Compass 8 (1):15-27.
    Much of contemporary knowledge is generated by groups not single individuals. A natural question to ask is, what features make groups better or worse at generating knowledge? This paper surveys research that spans several disciplines which focuses on one aspect of epistemic communities: the way they communicate internally. This research has revealed that a wide number of different communication structures are best, but what is best in a given situation depends on particular details of the problem being confronted by the (...)
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  • (1 other version)The communication structure of epistemic communities.Kevin J. S. Zollman - 2007 - Philosophy of Science 74 (5):574-587.
    Increasingly, epistemologists are becoming interested in social structures and their effect on epistemic enterprises, but little attention has been paid to the proper distribution of experimental results among scientists. This paper will analyze a model first suggested by two economists, which nicely captures one type of learning situation faced by scientists. The results of a computer simulation study of this model provide two interesting conclusions. First, in some contexts, a community of scientists is, as a whole, more reliable when its (...)
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  • When mechanistic models explain.Carl F. Craver - 2006 - Synthese 153 (3):355-376.
    Not all models are explanatory. Some models are data summaries. Some models sketch explanations but leave crucial details unspecified or hidden behind filler terms. Some models are used to conjecture a how-possibly explanation without regard to whether it is a how-actually explanation. I use the Hodgkin and Huxley model of the action potential to illustrate these ways that models can be useful without explaining. I then use the subsequent development of the explanation of the action potential to show what is (...)
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  • (1 other version)Conjectures and Refutations.K. Popper - 1963 - Les Etudes Philosophiques 21 (3):431-434.
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  • (1 other version)Conjectures and Refutations.Karl Popper - 1963 - British Journal for the Philosophy of Science 19 (2):159-168.
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  • Social structure and the effects of conformity.Kevin James Spears Zollman - 2010 - Synthese 172 (3):317-340.
    Conformity is an often criticized feature of human belief formation. Although generally regarded as a negative influence on reliability, it has not been widely studied. This paper attempts to determine the epistemic effects of conformity by analyzing a mathematical model of this behavior. In addition to investigating the effect of conformity on the reliability of individuals and groups, this paper attempts to determine the optimal structure for conformity. That is, supposing that conformity is inevitable, what is the best way for (...)
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  • Not even wrong: Imprecision perpetuates the illusion of understanding at the cost of actual understanding.Paul E. Smaldino - 2016 - Behavioral and Brain Sciences 39.
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