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Money pumps

Philosophy of Science 68 (2):242-257 (2001)

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  1. A Money-Pump for Acyclic Intransitive Preferences.Johan E. Gustafsson - 2010 - Dialectica 64 (2):251-257.
    The standard argument for the claim that rational preferences are transitive is the pragmatic money-pump argument. However, a money-pump only exploits agents with cyclic strict preferences. In order to pump agents who violate transitivity but without a cycle of strict preferences, one needs to somehow induce such a cycle. Methods for inducing cycles of strict preferences from non-cyclic violations of transitivity have been proposed in the literature, based either on offering the agent small monetary transaction premiums or on multi-dimensional preferences. (...)
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  • A centipede for intransitive preferrers.Wlodek Rabinowicz - 2000 - Studia Logica 67 (2):167-178.
    In the standard money pump, an agent with cyclical preferences can avoid exploitation if he shows foresight and solves his sequential decision problem using backward induction (BI). This way out is foreclosed in a modified money pump, which has been presented in Rabinowicz (2000). There, BI will lead the agent to behave in a self-defeating way. The present paper describes another sequential decision problem of this kind, the Centipede for an Intransitive Preferrer, which in some respects is even more striking (...)
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  • Eight journals over eight decades: a computational topic-modeling approach to contemporary philosophy of science.Christophe Malaterre, Francis Lareau, Davide Pulizzotto & Jonathan St-Onge - 2020 - Synthese 199 (1-2):2883-2923.
    As a discipline of its own, the philosophy of science can be traced back to the founding of its academic journals, some of which go back to the first half of the twentieth century. While the discipline has been the object of many historical studies, notably focusing on specific schools or major figures of the field, little work has focused on the journals themselves. Here, we investigate contemporary philosophy of science by means of computational text-mining approaches: we apply topic-modeling algorithms (...)
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