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  1. Epistemic Landscapes and the Division of Cognitive Labor.Michael Weisberg & Ryan Muldoon - 2009 - Philosophy of Science 76 (2):225-252.
    Because of its complexity, contemporary scientific research is almost always tackled by groups of scientists, each of which works in a different part of a given research domain. We believe that understanding scientific progress thus requires understanding this division of cognitive labor. To this end, we present a novel agent-based model of scientific research in which scientists divide their labor to explore an unknown epistemic landscape. Scientists aim to climb uphill in this landscape, where elevation represents the significance of the (...)
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  • Back to the big picture.Anna Alexandrova, Robert Northcott & Jack Wright - 2021 - Journal of Economic Methodology 28 (1):54-59.
    We distinguish between two different strategies in methodology of economics. The big picture strategy, dominant in the twentieth century, ascribed to economics a unified method and evaluated this m...
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  • Unconceived alternatives and conservatism in science: the impact of professionalization, peer-review, and Big Science.P. Kyle Stanford - 2015 - Synthese 196 (10):3915-3932.
    Scientific realists have suggested that changes in our scientific communities over the course of their history have rendered those communities progressively less vulnerable to the problem of unconcieved alternatives over time. I argue in response not only that the most fundamental historical transformations of the scientific enterprise have generated steadily mounting obstacles to revolutionary, transformative, or unorthodox scientific theorizing, but also that we have substantial independent evidence that the institutional apparatus of contemporary scientific inquiry fosters an exceedingly and increasingly theoretically (...)
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  • Models and the locus of their truth.Uskali Mäki - 2011 - Synthese 180 (1):47 - 63.
    If models can be true, where is their truth located? Giere (Explaining science, University of Chicago Press, Chicago, 1998) has suggested an account of theoretical models on which models themselves are not truth-valued. The paper suggests modifying Giere’s account without going all the way to purely pragmatic conceptions of truth—while giving pragmatics a prominent role in modeling and truth-acquisition. The strategy of the paper is to ask: if I want to relocate truth inside models, how do I get it, what (...)
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  • The Fate of Knowledge.Helen E. Longino - 2002 - Princeton University Press.
    Helen Longino seeks to break the current deadlock in the ongoing wars between philosophers of science and sociologists of science--academic battles founded on disagreement about the role of social forces in constructing scientific knowledge. While many philosophers of science downplay social forces, claiming that scientific knowledge is best considered as a product of cognitive processes, sociologists tend to argue that numerous noncognitive factors influence what scientists learn, how they package it, and how readily it is accepted. Underlying this disagreement, however, (...)
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  • Refusing the devil's bargain: What kind of underdetermination should we take seriously?P. Kyle Stanford - 2001 - Proceedings of the Philosophy of Science Association 2001 (3):S1-.
    Advocates have sought to prove that underdetermination obtains because all theories have empirical equivalents. But algorithms for generating empirical equivalents simply exchange underdetermination for familiar philosophical chestnuts, while the few convincing examples of empirical equivalents will not support the desired sweeping conclusions. Nonetheless, underdetermination does not depend on empirical equivalents: our warrant for current theories is equally undermined by presently unconceived alternatives as well-confirmed merely by the existing evidence, so long as this transient predicament recurs for each theory and body (...)
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  • Refusing the Devil’s bargain: What kind of underdetermination should we take seriously?P. Kyle Stanford - 2001 - Philosophy of Science 68 (S3):S1-S12.
    Advocates have sought to prove that underdetermination obtains because all theories have empirical equivalents. But algorithms for generating empirical equivalents simply exchange underdetermination for familiar philosophical chestnuts, while the few convincing examples of empirical equivalents will not support the desired sweeping conclusions. Nonetheless, underdetermination does not depend on empirical equivalents: our warrant for current theories is equally undermined by presently unconceived alternatives as well-confirmed merely by the existing evidence, so long as this transient predicament recurs for each theory and body (...)
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