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  1. Kuhnian revolutions in neuroscience: the role of tool development.David Parker - 2018 - Biology and Philosophy 33 (3-4):17.
    The terms “paradigm” and “paradigm shift” originated in “The Structure of Scientific Revolutions” by Thomas Kuhn. A paradigm can be defined as the generally accepted concepts and practices of a field, and a paradigm shift its replacement in a scientific revolution. A paradigm shift results from a crisis caused by anomalies in a paradigm that reduce its usefulness to a field. Claims of paradigm shifts and revolutions are made frequently in the neurosciences. In this article I will consider neuroscience paradigms, (...)
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  • Probability and normativity.David Papineau - 1989 - Behavioral and Brain Sciences 12 (3):484-485.
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  • Biases, decisions and auctorial rebuttal in the peer-review process.David S. Palermo - 1982 - Behavioral and Brain Sciences 5 (2):230-231.
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  • Mathematical discourse and cross‐disciplinary communities: The case of political economy.Robert Pahre - 1996 - Social Epistemology 10 (1):55 – 73.
    Abstract This paper explores the role of symbolic languages within and between positivist disciplines. Symbolic languages, of which mathematics is the most important example, consist of tautologically true statements, such as 2 + 2 = 4. These must be operationalized before being useful for positivist research agendas (i.e. two apples and two oranges make four fruit). Disciplines may borrow either the symbolic languages of another discipline or the symbolic language and the accompanying operationalizations. The choice has important theoretical effects, and (...)
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  • What is the source of bias in peer review?Ray Over - 1982 - Behavioral and Brain Sciences 5 (2):229-230.
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  • Proportions of the jaw mechanism of cichlid fishes changes and their meaning.E. Otten - 1985 - Acta Biotheoretica 34 (2-4):207-217.
    The jaw mechanism of cichlid fishes is an intricate apparatus with complex force transmission from muscles to environment. The proportions of this apparatus change considerably during growth mainly due to scale effects. In adult fishes, the proportions differ, corresponding with the type of preferred food. In such a complex mechanism, it is very hard to gain insight into the functional meaning of the differences in proportions, unless a biomechanical model is constructed, describing kinematics and force equilibria of the apparatus.Such a (...)
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  • Coherence and abduction.Paul O'Rorke - 1989 - Behavioral and Brain Sciences 12 (3):484-484.
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  • David Hull's evolutionary model for the progress and process of science.David Oldroyd - 1990 - Biology and Philosophy 5 (4):473-487.
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  • Charles Darwin's theory of evolution: A review of our present understanding. [REVIEW]David R. Oldroyd - 1986 - Biology and Philosophy 1 (2):133-168.
    The paper characterizes Darwin's theory, providing a synthesis of recent historical investigations in this area. Darwin's reading of Malthus led him to appreciate the importance of population pressures, and subsequently of natural selection, with the help of the wedge metaphor. But, in itself, natural selection did not furnish an adequate account of the origin of species, for which a principle of divergence was needed. Initially, Darwin attributed this to geographical isolation, but later, following his work on barnacles which underscored the (...)
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  • The spell of Kuhn on psychology: An exegetical elixir.William O'Donohue - 1993 - Philosophical Psychology 6 (3):267 – 287.
    In their meta-scientific studies of psychology, psychologists often use what they take to be the views of Thomas Kuhn. Although a critical examination of psychology or aspects of psychology is laudatory, psychologists' also need to accurately understand and to assume a critical stance toward the meta-scientific views that they employ. In this paper the views of the historian of science, Thomas Kuhn, are examined. The following questions are addressed: What were Kuhn's investigative methods? What are his views of science? What (...)
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  • Précis of bayesian rationality: The probabilistic approach to human reasoning.Mike Oaksford & Nick Chater - 2009 - Behavioral and Brain Sciences 32 (1):69-84.
    According to Aristotle, humans are the rational animal. The borderline between rationality and irrationality is fundamental to many aspects of human life including the law, mental health, and language interpretation. But what is it to be rational? One answer, deeply embedded in the Western intellectual tradition since ancient Greece, is that rationality concerns reasoning according to the rules of logic – the formal theory that specifies the inferential connections that hold with certainty between propositions. Piaget viewed logical reasoning as defining (...)
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  • Computational levels again.Mike Oaksford - 1994 - Behavioral and Brain Sciences 17 (1):76-77.
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  • Connectionism, classical cognitive science and experimental psychology.Mike Oaksford, Nick Chater & Keith Stenning - 1990 - AI and Society 4 (1):73-90.
    Classical symbolic computational models of cognition are at variance with the empirical findings in the cognitive psychology of memory and inference. Standard symbolic computers are well suited to remembering arbitrary lists of symbols and performing logical inferences. In contrast, human performance on such tasks is extremely limited. Standard models donot easily capture content addressable memory or context sensitive defeasible inference, which are natural and effortless for people. We argue that Connectionism provides a more natural framework in which to model this (...)
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  • Lay arbitration of rules of inference.Richard E. Nisbett - 1981 - Behavioral and Brain Sciences 4 (3):349-350.
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  • L. J. Cohen versus Bayesianism.Ilkka Niiniluoto - 1981 - Behavioral and Brain Sciences 4 (3):349-349.
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  • What is a problem that we may solve it.Thomas Nickles - 1981 - Synthese 47 (1):85 - 118.
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  • Progressive transitions in chemistry teachers’ understanding of nature of science based on historical controversies.Mansoor Niaz - 2009 - Science & Education 18 (1):43-65.
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  • Theodore Arabatzis: Representing Electrons: A Biographical Approach to Theoretical Entities.Mansoor Niaz - 2011 - Science & Education 20 (9):921-925.
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  • A Rationale for Mixed Methods (Integrative) Research Programmes in Education.Mansoor Niaz - 2008 - Journal of Philosophy of Education 42 (2):287-305.
    Recent research shows that research programmes (quantitative, qualitative and mixed) in education are not displaced (as suggested by Kuhn) but rather lead to integration. The objective of this study is to present a rationale for mixed methods (integrative) research programs based on contemporary philosophy of science (Lakatos, Giere, Cartwright, Holton, Laudan). This historical reconstruction of episodes from physical science (spanning a period of almost 300 years, 17th to 20th century) does not agree with the positivist image of science. Quantitative data (...)
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  • Objectivity, Ambiguity, and Theory Choice.James Nguyen & Alexandru Marcoci - 2019 - Erkenntnis 84 (2):343-357.
    Kuhn argued that scientific theory choice is, in some sense, a rational matter, but one that is not fully determined by shared objective scientific virtues like accuracy, simplicity, and scope. Okasha imports Arrow’s impossibility theorem into the context of theory choice to show that rather than not fully determining theory choice, these virtues cannot determine it at all. If Okasha is right, then there is no function (satisfying certain desirable conditions) from ‘preference’ rankings supplied by scientific virtues over competing theories (...)
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  • The intentional stance and the knowledge level.Allen Newell - 1988 - Behavioral and Brain Sciences 11 (3):520.
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  • Learning theory: Behavioral artifacts or general principles?John A. Nevin - 1981 - Behavioral and Brain Sciences 4 (1):152-153.
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  • Natural selection and fear regulation mechanisms.Randolph M. Nesse & James L. Abelson - 1995 - Behavioral and Brain Sciences 18 (2):309-310.
    Expectations can facilitate rapid fear conditioning and this may explain some phenomena that have been attributed to preparedness. However, preparedness remains the best explanation for some aspects of clinical phobias and the difficulty of creating fears of modern dangers. Rapid fear conditioning based on expectancy is not an alternative to an evolutionary explanation, but has, like preparedness, been shaped by natural selection.
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  • The process of peer review: Unanswered questions.Linda D. Nelson - 1991 - Behavioral and Brain Sciences 14 (1):158-159.
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  • Reliability, bias, or quality: What is the issue?Katherine Nelson - 1982 - Behavioral and Brain Sciences 5 (2):229-229.
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  • On the content of representations.R. J. Nelson - 1982 - Behavioral and Brain Sciences 5 (3):384-384.
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  • Some thoughts on the proper foundations for the study of cognition in animals.Lynn Nadel - 1982 - Behavioral and Brain Sciences 5 (3):383-384.
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  • Truth, relativism, and crossword puzzles.Nancey Murphy - 1989 - Zygon 24 (3):299-314.
    . Neither the correspondence nor the coherence theory of truth does justice to the truth claims made in science and theology. I propose a new definition that relates truth to solving puzzles. I claim that this definition is more adequate than either of the traditional theories and that it offers two additional benefits: first, it provides grounds for a theory regarding the relations between theology and science that may stand up better to philosophical scrutiny than does critical realism; and second, (...)
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  • Robert John Russell versus the new atheists.Nancey Murphy - 2010 - Zygon 45 (1):193-212.
    This essay compares Robert John Russell's work in his recent book Cosmology from Alpha to Omega: The Creative Mutual Interaction of Theology and Science (2008) to that of the authors known collectively as "the new atheists." I treat the latter as recent contributors to the modern tradition of scientific naturalism. This tradition makes claims to legitimacy on the basis of its close relations to the natural sciences. The purpose of this essay is to show up the poverty of the naturalist (...)
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  • Acceptability criteria for work in theology and science.Nancey C. Murphy - 1987 - Zygon 22 (3):279-298.
    The philosophy of science of Imre Lakatos suggests criteria for acceptability of work in the interdisciplinary area of theology and science: proposals must contribute to scientific (or theological) research programs that lead to prediction and discovery of novel facts. Lakatos's methodology also suggests four legitimate types of theology–and–science interaction: (1) heuristic use of theology in science; (2) incorporation of a theological assertion as an auxiliary hypothesis in a scientific research program, or (3) as the central theory of a research program; (...)
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  • Theory-nets and the evolution of theories: The example of Newtonian mechanics.C. Ulises Moulines - 1979 - Synthese 41 (3):417 - 439.
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  • Designing peer review for the subjective as well as the objective side of science.Ian I. Mitroff - 1982 - Behavioral and Brain Sciences 5 (2):227-228.
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  • When we practice to deceive: The ethics of a metascientific inquiry.Burton Mindick - 1982 - Behavioral and Brain Sciences 5 (2):226-227.
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  • Expectancy bias as sole or partial account of selective associations?Susan Mineka & Michael Cook - 1995 - Behavioral and Brain Sciences 18 (2):307-309.
    Davey reviews evidence purporting to distinguish between two accounts of selective associations – expectancy bias and evolved predispositions, although these hypotheses largely apply to different levels of causal analysis. Criticisms of primate studies in which subjects lack prior exposure to stimuli seem uncompelling. Expectancies may sometimes serve as proximal mediators in selective associations, but other factors, both proximate and ultimate, are clearly also involved.
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  • Nonlinear experiential influences on the development of fear reactions.David B. Miller - 1995 - Behavioral and Brain Sciences 18 (2):306-307.
    Failure to find an obvious or linear relationship between a developmental experiential factor and a developmental outcome often leads investigators to posit concepts such as “biological preparedness” and “evolved predispositions” that allude to hypothetical geneticmechanisms that may not exist. However, experiential nonlinearities alone may explain the development of certain instinctive behaviors, as shown by studies on alarm call responsivity in mallard ducklings.
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  • Making the plausible implausible: A favorable review of Peters and Ceci's target article.Jason Millman - 1982 - Behavioral and Brain Sciences 5 (2):225-226.
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  • Against Logicist Cognitive Science.Mike Oaksford & Nick Chater - 1991 - Mind and Language 6 (1):1-38.
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  • Distributed locality and large-scale neurocognitive networks.M. Marsel Mesulam - 1994 - Behavioral and Brain Sciences 17 (1):74-76.
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  • Enhanced processing of threatening stimuli: The case of face recognition.Linda Mealey - 1995 - Behavioral and Brain Sciences 18 (2):304-305.
    Because of their evolutionary importance, threat-detection mechanisms are likely to exist at a variety of levels. A recent study of face recognition suggests that novel stimuli receive enhanced processing when presented as fear-related. This suggests the existence of a complex, context-dependent threat-detection mechanism that can adaptively respond to spatiotemporally varying and unique environmental features.
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  • Enough of polemics – let's look at data!W. C. McGrew - 1987 - Behavioral and Brain Sciences 10 (1):79-79.
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  • Optimization and connectionism are two different things.Drew McDermott - 1989 - Behavioral and Brain Sciences 12 (3):483-484.
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  • Simplified models: a different perspective on models as mediators.C. D. McCoy & Michela Massimi - 2018 - European Journal for Philosophy of Science 8 (1):99-123.
    We introduce a novel point of view on the “models as mediators” framework in order to emphasize certain important epistemological questions about models in science which have so far been little investigated. To illustrate how this perspective can help answer these kinds of questions, we explore the use of simplified models in high energy physics research beyond the Standard Model. We show in detail how the construction of simplified models is grounded in the need to mitigate pressing epistemic problems concerning (...)
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  • Neuropsychology: Going loco?Rosaleen A. McCarthy - 1994 - Behavioral and Brain Sciences 17 (1):73-74.
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  • Acceptability, analogy, and the acceptability of analogies.Robert N. McCauley - 1989 - Behavioral and Brain Sciences 12 (3):482-483.
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  • Teaching the Philosophical and Worldview Components of Science.Michael R. Matthews - 2009 - Science & Education 18 (6-7):697-728.
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  • Rejection without acceptance.Carl A. Matheson & A. David Kline - 1991 - Australasian Journal of Philosophy 69 (2):167 – 179.
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  • Reflections on 25 Years of Journal Editorship.Michael R. Matthews - 2015 - Science & Education 24 (5-6):749-805.
    These reflections range over some distinctive features of the journal Science & Education, they acknowledge in a limited way the many individuals who over the past 25 years have contributed to the success and reputation of the journal, they chart the beginnings of the journal, and they dwell on a few central concerns—clear writing and the contribution of HPS to teacher education. The reflections also revisit the much-debated and written-upon philosophical and pedagogical arguments occasioned by the rise and possible demise (...)
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  • The irrational, the unreasonable, and the wrong.Avishai Margalit & Maya Bar-Hillel - 1981 - Behavioral and Brain Sciences 4 (3):346-349.
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  • Reflections on the peer review process.Herbert W. Marsh & Samuel Ball - 1991 - Behavioral and Brain Sciences 14 (1):157-158.
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  • Horizon for Scientific Practice: Scientific Discovery and Progress.James A. Marcum - 2010 - International Studies in the Philosophy of Science 24 (2):187-215.
    In this article, I introduce the notion of horizon for scientific practice (HSP), representing limits or boundaries within which scientists ply their trade, to facilitate analysis of scientific discovery and progress. The notion includes not only constraints that delimit scientific practice, e.g. of bringing experimentation to a temporary conclusion, but also possibilities that open up scientific practice to additional scientific discovery and to further scientific progress. Importantly, it represents scientific practice as a dynamic and developmental integration of activities to investigate (...)
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