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  1. Explaining Referential Stability of Physics Concepts: The Semantic Embedding Approach. [REVIEW]Andreas Bartels - 2010 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 41 (2):267 - 281.
    The paper discusses three different ways of explaining the referential stability of concepts of physics. In order to be successful, an approach to referential stability has to provide resources to understand what constitutes the difference between the birth of a new concept with a history of its own, and an innovative step occurring within the lifetime of a persisting concept with stable reference. According to Theodore Arabatzis' 'biographical' approach (Representing Electrons 2006), the historical continuity of representations of the electron manifests (...)
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  • Continuity through revolutions: A frame-based account of conceptual change during scientific revolutions.Xiang Chen & Peter Barker - 2000 - Philosophy of Science 67 (3):223.
    In this paper we examine the pattern of conceptual change during scientific revolutions by using methods from cognitive psychology. We show that the changes characteristic of scientific revolutions, especially taxonomic changes, can occur in a continuous manner. Using the frame model of concept representation to capture structural relations within concepts and the direct links between concept and taxonomy, we develop an account of conceptual change in science that more adequately reflects the current understanding that episodes like the Copernican revolution are (...)
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  • Modeling complexity: cognitive constraints and computational model-building in integrative systems biology.Miles MacLeod & Nancy J. Nersessian - 2018 - History and Philosophy of the Life Sciences 40 (1):17.
    Modern integrative systems biology defines itself by the complexity of the problems it takes on through computational modeling and simulation. However in integrative systems biology computers do not solve problems alone. Problem solving depends as ever on human cognitive resources. Current philosophical accounts hint at their importance, but it remains to be understood what roles human cognition plays in computational modeling. In this paper we focus on practices through which modelers in systems biology use computational simulation and other tools to (...)
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  • Abstraction via generic modeling in concept formation in science.Nancy J. Nersessian - 2002 - Mind and Society 3 (1):129-154.
    Cases where analogy has played a significant role in the formation of a new scientific concept are well-documented. Yet, how is it that genuinely new representations can be constructed from existing representations? It is argued that the process of ‘generic modeling’ enables abstraction of features common to both the domain of the source of the analogy and of the target phenomena. The analysis focuses on James Clerk Maxwell's construction of the electromagnetic field concept. The mathematical representation Maxwell constructed turned out (...)
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  • Rapid Learning in a Children's Museum via Analogical Comparison.Dedre Gentner, Susan C. Levine, Raedy Ping, Ashley Isaia, Sonica Dhillon, Claire Bradley & Garrett Honke - 2016 - Cognitive Science 40 (1):224-240.
    We tested whether analogical training could help children learn a key principle of elementary engineering—namely, the use of a diagonal brace to stabilize a structure. The context for this learning was a construction activity at the Chicago Children's Museum, in which children and their families build a model skyscraper together. The results indicate that even a single brief analogical comparison can confer insight. The results also reveal conditions that support analogical learning.
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  • Resources for Research on Analogy: A Multi-disciplinary Guide.Marcello Guarini, Amy Butchart, Paul Simard Smith & Andrei Moldovan - 2009 - Informal Logic 29 (2):84-197.
    Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...)
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  • Multisemiosis and Incommensurability.S. K. Arun Murthi & Sundar Sarukkai - 2009 - International Studies in the Philosophy of Science 23 (3):297-311.
    Central to Kuhn's notion of incommensurability are the ideas of meaning variance and lexicon, and the impossibility of translation of terms across different theories. Such a notion of incommensurability is based on a particular understanding of what a scientific language is. In this paper we first attempt to understand this notion of scientific language in the context of incommensurability. We consider the consequences of the essential multisemiotic character of scientific theories and show how this leads to even a single theory (...)
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  • Visual models in analogical problem solving.Jim Davies, Nancy J. Nersessian & Ashok K. Goel - 2005 - Foundations of Science 10 (1):133-152.
    Visual analogy is believed to be important in human problem solving. Yet, there are few computational models of visual analogy. In this paper, we present a preliminary computational model of visual analogy in problem solving. The model is instantiated in a computer program, called Galatea, which uses a language for representing and transferring visual information called Privlan. We describe how the computational model can account for a small slice of a cognitive-historical analysis of Maxwell’s reasoning about electromagnetism.
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  • Defending realism on the proper ground.Athanassios Raftopoulos - 2006 - Philosophical Psychology 19 (1):47-77.
    'Epistemological constructivism' holds that vision is mediated by background preconceptions and is theory-laden. Hence, two persons with differing theoretical commitments see the world differently and they could agree on what they see only if they both espoused the same conceptual framework. This, in its turn, undermines the possibility of theory testing and choice on a common theory-neutral empirical basis. In this paper, I claim that the cognitive sciences suggest that a part of vision may be only indirectly penetrated by cognition (...)
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  • Hypothetical and Inductive Heuristics.Scott E. Kleiner - 1990 - Philosophica 45.
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  • The Epistemic Goal of a Concept: Accounting for the Rationality of Semantic Change and Variation.Ingo Brigandt - 2010 - Synthese 177 (1):19-40.
    The discussion presents a framework of concepts that is intended to account for the rationality of semantic change and variation, suggesting that each scientific concept consists of three components of content: 1) reference, 2) inferential role, and 3) the epistemic goal pursued with the concept’s use. I argue that in the course of history a concept can change in any of these components, and that change in the concept’s inferential role and reference can be accounted for as being rational relative (...)
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  • How scientific ideas develop and how to develop scientific ideas.Marga Vicedo - 1995 - Biology and Philosophy 10 (4):489-499.
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  • Transforming temporal knowledge: Conceptual change between event concepts.Xiang Chen - 2005 - Perspectives on Science 13 (1):49-73.
    : This paper offers a preliminary analysis of conceptual change between event concepts. It begins with a brief review of the major findings of cognitive studies on event knowledge. The script model proposed by Schank and Abelson was the first attempt to represent event knowledge. Subsequent cognitive studies indicated that event knowledge is organized in the form of dimensional organizations in which temporally successive actions are related causally. This paper proposes a frame representation to capture and outline the internal structure (...)
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  • From Science Studies to Scientific Literacy: A View from the Classroom.Douglas Allchin - 2014 - Science & Education 23 (9):1911-1932.
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  • Model‐Based Reasoning in Distributed Cognitive Systems.Nancy J. Nersessian - 2006 - Philosophy of Science 73 (5):699-709.
    This paper examines the nature of model-based reasoning in the interplay between theory and experiment in the context of biomedical engineering research laboratories, where problem solving involves using physical models. These "model systems" are sites of experimentation where in vitro models are used to screen, control, and simulate specific aspects of in vivo phenomena. As with all models, simulation devices are idealized representations, but they are also systems themselves, possessing engineering constraints. Drawing on research in contemporary cognitive science that construes (...)
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  • Is essentialism unscientific?Jarrett Leplin - 1988 - Philosophy of Science 55 (4):493-510.
    This paper defends the Causal Theory of Reference against the recent criticism that it imposes a priori constraints on the aims and practices of science. The metaphysical essentialism of this theory is shown to be compatible with the requirements of naturalistic epistemology. The theory is nevertheless unable to forestall the problem of incommensurability for scientific terms, because it misrepresents the conditions under which their reference is fixed. The resources of the Causal Theory of Reference and of the traditional cluster or (...)
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  • Acupuncture, incommensurability, and conceptual change.Paul Thagard & R. Zhu - 2003 - In Gale M. Sinatra & Paul R. Pintrich (eds.), Intentional conceptual change. Mahwah, N.J.: L. Erlbaum. pp. 79--102.
    This paper is an investigation of the degree of incommensurability between Western scientific medicine and traditional Chinese medicine, focusing on the practice and theory of acupuncture. We describe the structure of traditional Chinese medicine, oriented around such concepts as yin, yang, qi, and xing, and discuss how the conceptual and explanatory differences between Western medicine and traditional Chinese medicine generate impediments to their comparison and evaluation. We argue that the linguistic, conceptual, ontological, and explanatory impediments can to a large extent (...)
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  • Methods of Conceptual Change in Science: Imagistic and Analogical Reasoning.Nancy Nersessian - 1990 - Philosophica 45.
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  • The method to "meaning": A reply to Leplin.Nancy J. Nersessian - 1991 - Philosophy of Science 58 (4):678-686.
    In his article, "Is Essentialism Unscientific?" (1988), Jarrett Leplin claims that I do not have sufficient grounds for rejecting the customary "philosophical method of discovery" that allows for the direct transfer of theories developed in the philosophy of language to science. While admitting that all attempts at transfer thus far have failed, he still maintains that method is sound. I argue that the wholesale failure of these attempts is reason enough to suspect the method and to try to devise one (...)
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  • The object bias and the study of scientific revolutions: Lessons from developmental psychology.Xiang Chen - 2007 - Philosophical Psychology 20 (4):479 – 503.
    I propose a new perspective on the study of scientific revolutions. This is a transformation from an object-only perspective to an ontological perspective that properly treats objects and processes as distinct kinds. I begin my analysis by identifying an object bias in the study of scientific revolutions, where it takes the form of representing scientific revolutions as changes in classification of physical objects. I further explore the origins of this object bias. Findings from developmental psychology indicate that children cannot distinguish (...)
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  • Consolidating Pre-service Physics Teachers’ Subject Matter Knowledge Using Didactical Reconstructions.T. Mäntylä & M. Nousiainen - 2014 - Science & Education 23 (8):1583-1604.
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  • Preface.Lorenzo Magnani & Nancy J. Nersessian - 2005 - Foundations of Science 10 (1):1-6.
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  • The distribution of representation.Lisa M. Osbeck & Nancy J. Nersessian - 2006 - Journal for the Theory of Social Behaviour 36 (2):141–160.
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  • Getting rid of the Ether. Could Physics have achieved it sooner, with better assistance from Philosophy?Roberto Torretti - 2009 - Theoria 22 (3):353-374.
    The history of the luminiferous ether is sketched with a view to ascertaining what factors may have kept this idea alive until 1905, when Einstein declared it superfluous.
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  • Preface.Lorenzo Magnani & Nancy J. Nersessian - 2002 - Mind and Society 3 (1):3-7.
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  • Toward a history-based model for scientific invention: Problem-solving practices in the invention of the transistor and the development of the theory of superconductivity.Lillian Hoddeson - 2002 - Mind and Society 3 (1):67-79.
    This paper argues that historical research is an important tool for modeling problem-solving in scientific invention and discovery. Two important cases in the history of modern physics—the invention of the transistor by John Bardeen and Walter Brattain and the development of the theory of superconductivity by Bardeen, Leon Cooper, and J. Robert Schrieffer—reveal factors essential to include in such a model. The focus is on problem-solving practices: problem decomposition, analogy, bridging principles, team-work, empirical tinkering, and library research. A complete framework (...)
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  • Clusters' last stand.Nader Chokr - 1993 - Social Epistemology 7 (4):329 – 353.
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