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  1. (6 other versions)The Structure of Scientific Revolutions.Thomas S. Kuhn - 1962 - Chicago, IL: University of Chicago Press. Edited by Ian Hacking.
    Thomas S. Kuhn's classic book is now available with a new index.
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  • Science as Social Knowledge: Values and Objectivity in Scientific Inquiry.Helen E. Longino - 1990 - Princeton University Press.
    This is an important book precisely because there is none other quite like it.
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  • Science, Policy, and the Value-Free Ideal.Heather Douglas - 2009 - University of Pittsburgh Press.
    Douglas proposes a new ideal in which values serve an essential function throughout scientific inquiry, but where the role values play is constrained at key points, protecting the integrity and objectivity of science.
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  • Science, truth, and democracy.Philip Kitcher - 2001 - New York: Oxford University Press.
    Striving to boldly redirect the philosophy of science, this book by renowned philosopher Philip Kitcher examines the heated debate surrounding the role of science in shaping our lives. Kitcher explores the sharp divide between those who believe that the pursuit of scientific knowledge is always valuable and necessary--the purists--and those who believe that it invariably serves the interests of people in positions of power. In a daring turn, he rejects both perspectives, working out a more realistic image of the sciences--one (...)
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  • The Fate of Knowledge.Helen E. Longino - 2001 - 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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  • Science and Values: The Aims of Science and Their Role in Scientific Debate.Larry Laudan - 1984 - University of California Press.
    Laudan constructs a fresh approach to a longtime problem for the philosopher of science: how to explain the simultaneous and widespread presence of both agreement and disagreement in science. Laudan critiques the logical empiricists and the post-positivists as he stresses the need for centrality and values and the interdependence of values, methods, and facts as prerequisites to solving the problems of consensus and dissent in science.
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  • The imperative of responsibility: in search of an ethics for the technological age.Hans Jonas - 1984 - Chicago: University of Chicago Press.
    Discusses the ethical implications of modern technology and examines the responsibility of humanity for the fate of the world.
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  • Science in a democratic society.Philip Kitcher - 2011 - Amherst, N.Y.: Prometheus Books.
    Claims that science should be more democratic than it is frequently arouse opposition. In this essay, I distinguish my own views about the democratization of science from the more ambitious theses defended by Paul Feyerabend. I argue that it is unlikely that the complexity of some scientific debates will allow for resolution according to the methodological principles of any formal confirmation theory, suggesting instead that major revolutions rest on conflicts of values. Yet these conflicts should not be dismissed as irresoluble.
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  • A Tapestry of Values: An Introduction to Values in Science.Kevin Christopher Elliott - 2017 - New York, US: Oxford University Press USA.
    The role of values in scientific research has become an important topic of discussion in both scholarly and popular debates. Pundits across the political spectrum worry that research on topics like climate change, evolutionary theory, vaccine safety, and genetically modified foods has become overly politicized. At the same time, it is clear that values play an important role in science by limiting unethical forms of research and by deciding what areas of research have the greatest relevance for society. Deciding how (...)
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  • Objectivity, value judgment, and theory choice.Thomas S. Kuhn - 1981 - In David Zaret (ed.), Review of Thomas S. Kuhn The Essential Tension: Selected Studies in Scientific Tradition and Change. Duke University Press. pp. 320--39.
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  • The Scientist Qua Scientist Makes Value Judgments.Richard Rudner - 1953 - Philosophy of Science 20 (1):1-6.
    The question of the relationship of the making of value judgments in a typically ethical sense to the methods and procedures of science has been discussed in the literature at least to that point which e. e. cummings somewhere refers to as “The Mystical Moment of Dullness.” Nevertheless, albeit with some trepidation, I feel that something more may fruitfully be said on the subject.
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  • Philosophy of Science After Feminism.Janet A. Kourany - 2010 - , US: Oxford University Press.
    A feminist primer for philosophers of science -- The legacy of twentieth century philosophy of science -- What feminist science studies can offer -- Challenges from every direction -- The prospects of twenty-first century philosophy of science.
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  • The division of cognitive labor.Philip Kitcher - 1990 - Journal of Philosophy 87 (1):5-22.
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  • The Epistemic Benefit of Transient Diversity.Kevin J. S. Zollman - 2010 - Erkenntnis 72 (1):17-35.
    There is growing interest in understanding and eliciting division of labor within groups of scientists. This paper illustrates the need for this division of labor through a historical example, and a formal model is presented to better analyze situations of this type. Analysis of this model reveals that a division of labor can be maintained in two different ways: by limiting information or by endowing the scientists with extreme beliefs. If both features are present however, cognitive diversity is maintained indefinitely, (...)
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  • (1 other version)The symbol grounding problem.Stevan Harnad - 1990 - Physica D 42:335-346.
    There has been much discussion recently about the scope and limits of purely symbolic models of the mind and about the proper role of connectionism in cognitive modeling. This paper describes the symbol grounding problem : How can the semantic interpretation of a formal symbol system be made intrinsic to the system, rather than just parasitic on the meanings in our heads? How can the meanings of the meaningless symbol tokens, manipulated solely on the basis of their shapes, be grounded (...)
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  • A vision of Responsible Innovation.Rene Von Schomberg - 2017 - In L. Asveld, R. Van Dam-Mieras, T. Swierstra, S. Lavrijssen, K. Linse & J. Van Den Hoven (eds.), Responsible Innovation. Springer International Publishing. pp. 51-74.
    This Article outlines a vision of responsible innovation and outlines a public policy and implementation strategy for it.
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  • (1 other version)The Imperative of Responsibility: In Search of an Ethics for the Technological Age.Hans Jonas - 1984 - Human Studies 11 (4):419-429.
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  • Reconstructing Scientific Revolutions: Thomas S. Kuhn’s Philosophy of Science.Paul Hoyningen-Huene - 1993 - Chicago: University of Chicago Press.
    Few philosophers of science have influenced as many readers as Thomas S. Kuhn. Yet no comprehensive study of his ideas has existed--until now. In this volume, Paul Hoyningen-Huene examines Kuhn's work over four decades, from the days before The Structure of Scientific Revolutions to the present, and puts Kuhn's philosophical development in a historical framework. Scholars from disciplines as diverse as political science and art history have offered widely differing interpretations of Kuhn's ideas, appropriating his notions of paradigm shifts and (...)
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  • Science-Mart: Privatizing American Science.Philip Mirowski - 2011 - Harvard University Press.
    This trenchant study analyzes the rise and decline in the quality and format of science in America since World War II. Science-Mart attributes this decline to a powerful neoliberal ideology in the 1980s which saw the fruits of scientific investigation as commodities that could be monetized, rather than as a public good.
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  • Social Empiricism.Miriam Solomon - 2001 - Cambridge, MA, USA: MIT Press.
    For the last forty years, two claims have been at the core of disputes about scientific change: that scientists reason rationally and that science is progressive. For most of this time discussions were polarized between philosophers, who defended traditional Enlightenment ideas about rationality and progress, and sociologists, who espoused relativism and constructivism. Recently, creative new ideas going beyond the polarized positions have come from the history of science, feminist criticism of science, psychology of science, and anthropology of science. Addressing the (...)
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  • In defence of the value free ideal.Gregor Betz - 2013 - European Journal for Philosophy of Science 3 (2):207-220.
    The ideal of value free science states that the justification of scientific findings should not be based on non-epistemic (e.g. moral or political) values. It has been criticized on the grounds that scientists have to employ moral judgements in managing inductive risks. The paper seeks to defuse this methodological critique. Allegedly value-laden decisions can be systematically avoided, it argues, by making uncertainties explicit and articulating findings carefully. Such careful uncertainty articulation, understood as a methodological strategy, is exemplified by the current (...)
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  • Science in a Democratic Society.Philip Kitcher - 2011 - Poznan Studies in the Philosophy of the Sciences and the Humanities 101:95-112.
    Claims that science should be more democratic than it is frequently arouse opposition. In this essay, I distinguish my own views about the democratization of science from the more ambitious theses defended by Paul Feyerabend. I argue that it is unlikely that the complexity of some scientific debates will allow for resolution according to the methodological principles of any formal confirmation theory, suggesting instead that major revolutions rest on conflicts of values. Yet these conflicts should not be dismissed as irresoluble.
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  • Value-Free Science: Ideals and Illusions?Harold Kincaid, John Dupre & Alison Wylie (eds.) - 2007 - New York: Oxford University Press.
    "It has long been thought that science is our best hope for realizing objective knowledge, but that, to deliver on this promise, it must be free of the influence of any values that are not purely epistemic. As recent work in philosophy, history, and social studies of science shows, however, things are not so simple. The contributors to this volume ask where and how nonepistemic values are involved in science; they explore the roles these values play at the heart of (...)
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  • Nonepistemic Values and the Multiple Goals of Science.Kevin C. Elliott & Daniel J. McKaughan - 2014 - Philosophy of Science 81 (1):1-21.
    Recent efforts to argue that nonepistemic values have a legitimate role to play in assessing scientific models, theories, and hypotheses typically either reject the distinction between epistemic and nonepistemic values or incorporate nonepistemic values only as a secondary consideration for resolving epistemic uncertainty. Given that scientific representations can legitimately be evaluated not only based on their fit with the world but also with respect to their fit with the needs of their users, we show in two case studies that nonepistemic (...)
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  • (2 other versions)Thomas Kuhn.Alexander Bird - 2018 - Stanford Encyclopedia of Philosophy.
    Thomas Samuel Kuhn (1922–1996) is one of the most influential philosophers of science of the twentieth century, perhaps the most influential. His 1962 book The Structure of Scientific Revolutions is one of the most cited academic books of all time. Kuhn’s contribution to the philosophy of science marked not only a break with several key positivist doctrines, but also inaugurated a new style of philosophy of science that brought it closer to the history of science. His account of the development (...)
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  • 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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  • Machine Ethics.Michael Anderson & Susan Leigh Anderson (eds.) - 2011 - Cambridge Univ. Press.
    The essays in this volume represent the first steps by philosophers and artificial intelligence researchers toward explaining why it is necessary to add an ...
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  • (1 other version)Uses of value judgments in science: A general argument, with lessons from a case study of feminist research on divorce.Elizabeth Anderson - 2004 - Hypatia 19 (1):1-24.
    : The underdetermination argument establishes that scientists may use political values to guide inquiry, without providing criteria for distinguishing legitimate from illegitimate guidance. This paper supplies such criteria. Analysis of the confused arguments against value-laden science reveals the fundamental criterion of illegitimate guidance: when value judgments operate to drive inquiry to a predetermined conclusion. A case study of feminist research on divorce reveals numerous legitimate ways that values can guide science without violating this standard.
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  • Values in Science beyond Underdetermination and Inductive Risk.Matthew J. Brown - 2013 - Philosophy of Science 80 (5):829-839.
    Proponents of the value ladenness of science rely primarily on arguments from underdetermination or inductive risk, which share the premise that we should only consider values where the evidence runs out or leaves uncertainty; they adopt a criterion of lexical priority of evidence over values. The motivation behind lexical priority is to avoid reaching conclusions on the basis of wishful thinking rather than good evidence. This is a real concern, however, that giving lexical priority to evidential considerations over values is (...)
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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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  • A new direction for science and values.Daniel J. Hicks - 2014 - Synthese 191 (14):3271-95.
    The controversy over the old ideal of “value-free science” has cooled significantly over the past decade. Many philosophers of science now agree that even ethical and political values may play a substantial role in all aspects of scientific inquiry. Consequently, in the last few years, work in science and values has become more specific: Which values may influence science, and in which ways? Or, how do we distinguish illegitimate from illegitimate kinds of influence? In this paper, I argue that this (...)
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  • Social knowing: The social sense of 'scientific knowledge'.Alexander Bird - 2010 - Philosophical Perspectives 24 (1):23-56.
    There is a social or collective sense of ‘knowledge’, as used, for example, in the phrase ‘the growth of scientific knowledge’. In this paper I show that social knowledge does not supervene on facts about what individuals know, nor even what they believe or intend, or any combination of these or other mental states. Instead I develop the idea that social knowing is an analogue to individual knowing, where the analogy focuses on the functional role of social and individual knowing.
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  • Epistemic Landscapes, Optimal Search, and the Division of Cognitive Labor.Jason McKenzie Alexander, Johannes Himmelreich & Christopher Thompson - 2015 - Philosophy of Science 82 (3):424-453,.
    This article examines two questions about scientists’ search for knowledge. First, which search strategies generate discoveries effectively? Second, is it advantageous to diversify search strategies? We argue pace Weisberg and Muldoon, “Epistemic Landscapes and the Division of Cognitive Labor”, that, on the first question, a search strategy that deliberately seeks novel research approaches need not be optimal. On the second question, we argue they have not shown epistemic reasons exist for the division of cognitive labor, identifying the errors that led (...)
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  • (2 other versions)Social empiricism.Miriam Solomon - 1994 - Noûs 28 (3):325-343.
    A new, social epistemology of science that addresses practical as well as theoretical concerns.
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  • Science and Values.Harold I. Brown & Larry Laudan - 1986 - Philosophical Review 95 (3):439.
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  • Knowledge, Human Interests, and Objectivity in Feminist Epistemology.Elizabeth Anderson - 1995 - Philosophical Topics 23 (2):27-58.
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  • The Independence Thesis: When Individual and Social Epistemology Diverge.Conor Mayo-Wilson, Kevin J. S. Zollman & David Danks - 2011 - Philosophy of Science 78 (4):653-677.
    In the latter half of the twentieth century, philosophers of science have argued (implicitly and explicitly) that epistemically rational individuals might compose epistemically irrational groups and that, conversely, epistemically rational groups might be composed of epistemically irrational individuals. We call the conjunction of these two claims the Independence Thesis, as they together imply that methodological prescriptions for scientific communities and those for individual scientists might be logically independent of one another. We develop a formal model of scientific inquiry, define four (...)
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  • Science and Moral Imagination: A New Ideal for Values in Science.Matthew J. Brown - 2020 - Pittsburgh: University of Pittsburgh Press.
    The idea that science is or should be value-free, and that values are or should be formed independently of science, has been under fire by philosophers of science for decades. Science and Moral Imagination directly challenges the idea that science and values cannot and should not influence each other. Matthew J. Brown argues that science and values mutually influence and implicate one another, that the influence of values on science is pervasive and must be responsibly managed, and that science can (...)
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  • (2 other versions)Social Empiricism.Miriam Solomon - 2005 - Philosophy and Phenomenological Research 70 (2):495-498.
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  • Experimentation by Industrial Selection.Bennett Holman & Justin Bruner - 2017 - Philosophy of Science 84 (5):1008-1019.
    Industry is a major source of funding for scientific research. There is also a growing concern for how it corrupts researchers faced with conflicts of interest. As such, the debate has focused on whether researchers have maintained their integrity. In this article we draw on both the history of medicine and formal modeling to argue that given methodological diversity and a merit-based system, industry funding can bias a community without corrupting any particular individual. We close by considering a policy solution (...)
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  • In Epistemic Networks, is Less Really More?Sarita Rosenstock, Cailin O'Connor & Justin Bruner - 2017 - Philosophy of Science 84 (2):234-252.
    We show that previous results from epistemic network models showing the benefits of decreased connectivity in epistemic networks are not robust across changes in parameter values. Our findings motivate discussion about whether and how such models can inform real-world epistemic communities. As we argue, only robust results from epistemic network models should be used to generate advice for the real-world, and, in particular, decreasing connectivity is a robustly poor recommendation.
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  • (2 other versions)Social Empiricism.Miriam Solomon - 2003 - Philosophy 78 (303):132-136.
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  • The Epistemic Division of Labor Revisited.Johanna Thoma - 2015 - Philosophy of Science 82 (3):454-472.
    Some scientists are happy to follow in the footsteps of others; some like to explore novel approaches. It is tempting to think that herein lies an epistemic division of labor conducive to overall scientific progress: the latter point the way to fruitful areas of research, and the former more fully explore those areas. Weisberg and Muldoon’s model, however, suggests that it would be best if all scientists explored novel approaches. I argue that this is due to implausible modeling choices, and (...)
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  • State of the field: Transient underdetermination and values in science.Justin Biddle - 2013 - Studies in History and Philosophy of Science Part A 44 (1):124-133.
    This paper examines the state of the field of “science and values”—particularly regarding the implications of the thesis of transient underdetermination for the ideal of value-free science, or what I call the “ideal of epistemic purity.” I do this by discussing some of the main arguments in the literature, both for and against the ideal. I examine a preliminary argument from transient underdetermination against the ideal of epistemic purity, and I discuss two different formulations of an objection to this argument—an (...)
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  • (2 other versions)Robustness and Idealizations in Agent-Based Models of Scientific Interaction.Daniel Frey & Dunja Šešelja - 2019 - British Journal for the Philosophy of Science 71 (4):1411-1437.
    The article presents an agent-based model of scientific interaction aimed at examining how different degrees of connectedness of scientists impact their efficiency in knowledge acquisition. The model is built on the basis of Zollman’s ABM by changing some of its idealizing assumptions that concern the representation of the central notions underlying the model: epistemic success of the rivalling scientific theories, scientific interaction and the assessment in view of which scientists choose theories to work on. Our results suggest that whether and (...)
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  • (2 other versions)Thomas Kuhn.Alexander Bird - 2002 - Philosophical Quarterly 52 (209):654-657.
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  • Well‐Ordered Science.Philip Kitcher - 2001 - In Science, truth, and democracy. New York: Oxford University Press.
    The question is answered by introducing an ideal, the ideal of well‐ordered science In well‐ordered science the inquiries pursued are those that would have been selected by a well‐informed group of deliberators dedicated to working cooperatively with one another. Well‐ordered science is contrasted with vulgar democracy and with elitism. The chapter suggests various ways in which our current practice of the sciences falls short of the ideal.
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  • Theory Choice and Social Choice: Kuhn versus Arrow.Samir Okasha - 2011 - Mind 120 (477):83-115.
    Kuhn’s famous thesis that there is ‘no unique algorithm’ for choosing between rival scientific theories is analysed using the machinery of social choice theory. It is shown that the problem of theory choice as posed by Kuhn is formally identical to a standard social choice problem. This suggests that analogues of well-known results from the social choice literature, such as Arrow’s impossibility theorem, may apply to theory choice. If an analogue of Arrow’s theorem does hold for theory choice this would (...)
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  • Inductive risk and the contexts of communication.Stephen John - 2015 - Synthese 192 (1):79-96.
    In recent years, the argument from inductive risk against value free science has enjoyed a revival. This paper investigates and clarifies this argument through means of a case-study: neonicitinoid research. Sect. 1 argues that the argument from inductive risk is best conceptualised as a claim about scientists’ communicative obligations. Sect. 2 then shows why this argument is inapplicable to “public communication”. Sect. 3 outlines non-epistemic reasons why non-epistemic values should not play a role in public communicative contexts. Sect. 4 analyses (...)
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  • The Problem of Intransigently Biased Agents.Bennett Holman & Justin P. Bruner - 2015 - Philosophy of Science 82 (5):956-968.
    In recent years the social nature of scientific inquiry has generated considerable interest. We examine the effect of an epistemically impure agent on a community of honest truth seekers. Extending a formal model of network epistemology pioneered by Zollman, we conclude that an intransigently biased agent prevents the community from ever converging to the truth. We explore two solutions to this problem, including a novel procedure for endogenous network formation in which agents choose whom to trust. We contend that our (...)
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