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  1.  17
    Nancy J. Nersessian (1984). Faraday to Einstein: Constructing Meaning in Scientific Theories. Distributors for the United States and Canada, Kluwer Academic Publishers.
    PARTI The Philosophical Situation: A Critical Appraisal We must begin with the mistake and find out the truth in it. That is, we must uncover the source of ...
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  2.  11
    Andrea Bender, Sieghard Beller & Nancy J. Nersessian (2015). Diversity as Asset. Topics in Cognitive Science 7 (4):677-688.
    We begin our commentary by summarizing the commonalities and differences in cognitive phenomena across cultures, as found by the seven papers of this topic. We then assess the commonalities and differences in how our various authors have approached the study of cognitive diversity, and speculate on the need for, and potential of, cross-disciplinary collaboration.
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  3.  14
    Miles MacLeod & Nancy J. Nersessian (2013). Coupling Simulation and Experiment: The Bimodal Strategy in Integrative Systems Biology. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):572-584.
    The importation of computational methods into biology is generating novel methodological strategies for managing complexity which philosophers are only just starting to explore and elaborate. This paper aims to enrich our understanding of methodology in integrative systems biology, which is developing novel epistemic and cognitive strategies for managing complex problem-solving tasks. We illustrate this through developing a case study of a bimodal researcher from our ethnographic investigation of two systems biology research labs. The researcher constructed models of metabolic and cell-signaling (...)
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  4.  23
    Miles MacLeod & Nancy J. Nersessian (2013). Building Simulations From the Ground Up: Modeling and Theory in Systems Biology. Philosophy of Science 80 (4):533-556.
  5.  27
    Nancy J. Nersessian (2009). How Do Engineering Scientists Think? Model‐Based Simulation in Biomedical Engineering Research Laboratories. Topics in Cognitive Science 1 (4):730-757.
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  6.  26
    Nancy J. Nersessian (2002). The Cognitive Basis of Model-Based Reasoning in Science. In Peter Carruthers, Stephen Stich & Michael Siegal (eds.), The Cognitive Basis of Science. Cambridge University Press 133--153.
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  7.  6
    Miles MacLeod & Nancy J. Nersessian (2015). Modeling Systems-Level Dynamics: Understanding Without Mechanistic Explanation in Integrative Systems Biology. Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 49:1-11.
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  8.  24
    Lisa M. Osbeck & Nancy J. Nersessian (2006). The Distribution of Representation. Journal for the Theory of Social Behaviour 36 (2):141–160.
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  9.  13
    Nancy J. Nersessian (1999). Model-Based Reasoning in Conceptual Change. In L. Magnani, N. J. Nersessian & P. Thagard (eds.), Model-Based Reasoning in Scientific Discovery. Kluwer/Plenum 5--22.
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  10.  39
    Nancy J. Nersessian (2007). Thought Experimenting as Mental Modeling. Croatian Journal of Philosophy 7 (2):125-161.
    The paper argues that the practice of thought experintenting enables scientists to follow through the implications of a way of representing nature by simulating an exemplary or representative situation that is feasible within that representation. What distinguishes thought experimenting from logical argument and other forms of propositional reasoning is that reasoning by means of a thought experiment involves constructing and simulating a mental model of a representative situation. Although thought experimenting is a creative part of scientific practice, it is a (...)
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  11.  68
    Lorenzo Magnani & Nancy J. Nersessian (2001). Preface. Mind and Society 2 (2):29-32.
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  12. Hanne Andersen & Nancy J. Nersessian (2000). Nomic Concepts, Frames, and Conceptual Change. Philosophy of Science 67 (3):241.
  13.  28
    Nancy J. Nersessian (2001). Concept Formation and Commensurability. In Paul Hoyningen-Huene & Howard Sankey (eds.), Incommensurability and Related Matters. Kluwer 275--301.
  14.  63
    Nancy J. Nersessian (1989). Conceptual Change in Science and in Science Education. Synthese 80 (1):163 - 183.
    There is substantial evidence that traditional instructional methods have not been successful in helping students to restructure their commonsense conceptions and learn the conceptual structures of scientific theories. This paper argues that the nature of the changes and the kinds of reasoning required in a major conceptual restructuring of a representation of a domain are fundamentally the same in the discovery and in the learning processes. Understanding conceptual change as it occurs in science and in learning science will require the (...)
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  15.  23
    Nancy J. Nersessian (1992). In the Theoretician's Laboratory: Thought Experimenting as Mental Modeling. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:291 - 301.
    Thought experiments have played a prominent role in numerous cases of conceptual change in science. I propose that research in cognitive psychology into the role of mental modeling in narrative comprehension can illuminate how and why thought experiments work. In thought experimenting a scientist constructs and manipulates a mental simulation of the experimental situation. During this process, she makes use of inferencing mechanisms, existing representations, and general world knowledge to make realistic transformations from one possible physical state to the next. (...)
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  16.  10
    Lisa M. Osbeck & Nancy J. Nersessian (2011). Affective Problem Solving: Emotion in Research Practice. Mind and Society 10 (1):57-78.
    This paper presents an analysis of emotional and affectively toned discourse in biomedical engineering researchers’ accounts of their problem solving practices. Drawing from our interviews with scientists in two laboratories, we examine three classes of expression: explicit, figurative and metaphorical, and attributions of emotion to objects and artifacts important to laboratory practice. We consider the overall function of expressions in the particular problem solving contexts described. We argue that affective processes are engaged in problem solving, not as simply tacked onto (...)
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  17.  1
    Miles MacLeod & Nancy J. Nersessian (forthcoming). Interdisciplinary Problem- Solving: Emerging Modes in Integrative Systems Biology. European Journal for Philosophy of Science:1-18.
    Integrative systems biology is an emerging field that attempts to integrate computation, applied mathematics, engineering concepts and methods, and biological experimentation in order to model large-scale complex biochemical networks. The field is thus an important contemporary instance of an interdisciplinary approach to solving complex problems. Interdisciplinary science is a recent topic in the philosophy of science. Determining what is philosophically important and distinct about interdisciplinary practices requires detailed accounts of problem-solving practices that attempt to understand how specific practices address the (...)
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  18. Nancy J. Nersessian, Dunja Jutronic, Ksenija Puskaric, Nenad Miscevic, Andreas K. A. Georgiou & James Robert Brown (2007). James Robert Brown: Thought Experiments and Platonism. Part Two. Croatian Journal of Philosophy 7 (20):125-268.
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  19.  4
    Lisa M. Osbeck & Nancy J. Nersessian (2013). Situating Distributed Cognition. Philosophical Psychology 27 (1):1-16.
    We historically and conceptually situate distributed cognition by drawing attention to important similarities in assumptions and methods with those of American ?functional psychology? as it emerged in contrast and complement to controlled laboratory study of the structural components and primitive ?elements? of consciousness. Functional psychology foregrounded the adaptive features of cognitive processes in environments, and adopted as a unit of analysis the overall situation of organism and environment. A methodological implication of this emphasis was, to the extent possible, the study (...)
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  20.  51
    Nancy J. Nersessian (1979). The Roots of Epistemological 'Anarchy'. Inquiry 22 (1-4):423 – 440.
    The claims of the epistemological 'anarchists' have their roots in the orthodox tradition as well as in the Popperian. In particular they follow from the work of Quine. Meaning variance and incommensurability follow directly from the holistic conception of meaning in his 'network' view. Quine's efforts to evade this conclusion fail. His attempt to develop a theory-neutral notion of observation sentence is shown (1) to be inconsistent with his previous claims since it involves the tacit acceptance of the 'dogma of (...)
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  21. Nancy J. Nersessian (2010). Mental Modeling in Conceptual Change. International Journal on Humanistic Ideology 1:11-48.
     
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  22.  3
    Miles MacLeod & Nancy J. Nersessian (2013). The Creative Industry of Integrative Systems Biology. Mind and Society 12 (1):35-48.
    Integrative systems biology is among the most innovative fields of contemporary science, bringing together scientists from a range of diverse backgrounds and disciplines to tackle biological complexity through computational and mathematical modeling. The result is a plethora of problem-solving techniques, theoretical perspectives, lab-structures and organizations, and identity labels that have made it difficult for commentators to pin down precisely what systems biology is, philosophically or sociologically. In this paper, through the ethnographic investigation of two ISB laboratories, we explore the particular (...)
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  23.  38
    Nancy J. Nersessian (2006). Model-Based Reasoning in Distributed Cognitive Systems. 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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  24.  16
    Nancy J. Nersessian (2005). Abstraction Via Generic Modeling in Concept Formation in Science. Poznan Studies in the Philosophy of the Sciences and the Humanities 86 (1):117-144.
    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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  25.  16
    Michael Hg Hoffmann, Jan C. Schmidt & Nancy J. Nersessian (2013). Philosophy of and as Interdisciplinarity. Synthese 190 (11):1857-1864.
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  26.  16
    Nancy J. Nersessian (ed.) (1987). The Process of Science: Contemporary Philosophical Approaches to Understanding Scientific Practice. Distributors for the United States and Canada, Kluwer Academic Publishers.
    ' this volume will make a significant contribution to a more adequate understanding of the 'nature of scientific knowledge and inquiry' ' ISIS Vol.79,No.1,1988.
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  27.  13
    Todd W. Griffith, Nancy J. Nersessian & Ashok K. Goel (1996). The Role of Generic Models in Conceptual Change. In Garrison W. Cottrell (ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum 312--317.
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  28.  23
    Nancy J. Nersessian (1988). Reasoning From Imagery and Analogy in Scientific Concept Formation. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1988:41 - 47.
    Concept formation in science is a reasoned process, commensurate with ordinary problem-solving processes. An account of how analogical reasoning and reasoning from imagistic representations generate new scientific concepts is presented. The account derives from case studies of concept formation in science and from computational theories of analogical problem solving in cognitive science. Concept formation by analogy is seen to be a process of increasing abstraction from existing conceptual structures.
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  29.  14
    Nancy J. Nersessian (1984). Aether/Or: The Creation of Scientific Concepts. Studies in History and Philosophy of Science Part A 15 (3):175-212.
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  30.  20
    Michael H. G. Hoffmann, Jan C. Schmidt & Nancy J. Nersessian (2013). Erratum To: Philosophy of and as Interdisciplinarity. [REVIEW] Synthese 190 (11):1975-1975.
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  31.  10
    Lisa M. Osbeck & Nancy J. Nersessian (2010). Forms of Positioning in Interdisciplinary Science Practice and Their Epistemic Effects. Journal for the Theory of Social Behaviour 40 (2):136-161.
  32.  43
    Jim Davies, Nancy J. Nersessian & Ashok K. Goel (2005). Visual Models in Analogical Problem Solving. 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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  33.  22
    Lorenzo Magnani & Nancy J. Nersessian (2004). Preface. Foundations of Science 9 (3):213-218.
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  34.  30
    Nancy J. Nersessian (1982). Why is 'Incommensurability' a Problem? Acta Biotheoretica 31 (4):205-218.
    The origins of the ‘ incommensurability problem’ and its central aspect, the ‘ meaning variance thesis’ are traced to the successive collapse of several distinctions maintained by the standard empiricist account of meaning in scientific theories. The crucial distinction is that between a conceptual structure and a theory. The ‘thesis’ and the ‘problem’ follow from critiques of this distinction by Duhem, Quine and Feyerabend. It is maintained that, rather than revealing the ‘problem’, the arguments leading to it simply show the (...)
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  35.  7
    Sanjay Chandrasekharan & Nancy J. Nersessian (2015). Building Cognition: The Construction of Computational Representations for Scientific Discovery. Cognitive Science 39 (8):1727-1763.
    Novel computational representations, such as simulation models of complex systems and video games for scientific discovery, are dramatically changing the way discoveries emerge in science and engineering. The cognitive roles played by such computational representations in discovery are not well understood. We present a theoretical analysis of the cognitive roles such representations play, based on an ethnographic study of the building of computational models in a systems biology laboratory. Specifically, we focus on a case of model-building by an engineer that (...)
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  36.  2
    Nancy J. Nersessian (1995). Should Physicists Preach What They Practice? Science and Education 4 (3):203-226.
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  37.  16
    Lorenzo Magnani & Nancy J. Nersessian (2005). Preface. Foundations of Science 10 (1):1-4.
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  38. Nancy J. Nersessian (1995). Constructive Modeling in Creating Scientific Understanding. Science and Education 4:203-226.
     
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  39.  12
    Nancy J. Nersessian (1987). Book Review:From Maxwell to Microphysics: Aspects of Electromagnetic Theory in the Last Quarter of the Nineteenth Century Jed Z. Buchwald. [REVIEW] Philosophy of Science 54 (3):489-.
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  40.  13
    Lorenzo Magnani, Nancy J. Nersessian & Paul Thagard (2000). Prefacr. Foundations of Science 5 (2):121-127.
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  41.  4
    Nancy J. Nersessian (1991). The Method to "Meaning": A Reply to Leplin. 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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  42.  4
    Nancy J. Nersessian (1996). Child's Play. Philosophy of Science 63 (4):542-546.
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  43.  4
    Sanjay Chandrasekharan & Nancy J. Nersessian (2007). Counterfactuals in Science and Engineering. Behavioral and Brain Sciences 30 (5-6):454-455.
    The notion of mutation is applicable to the generation of novel designs and solutions in engineering and science. This suggests that engineers and scientists have to work against the biases identified in counterfactual thinking. Therefore, imagination appears a lot less rational than claimed in the target article.
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  44.  3
    Lisa M. Osbeck & Nancy J. Nersessian (2013). Beyond Motivation and Metaphor:'Scientific Passions' and Anthropomorphism. In Vassilios Karakostas & Dennis Dieks (eds.), Epsa11 Perspectives and Foundational Problems in Philosophy of Science. Springer 455--466.
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  45.  2
    Nancy J. Nersessian (2010). The Topics: Knowledge and Cognitive Science. International Journal on Humanistic Ideology 3 (1).
  46.  3
    Lorenzo Magnani & Nancy J. Nersessian (2002). Preface. Mind and Society 3 (1):3-7.
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  47.  1
    Nancy J. Nersessian (1990). The Process of Science. Erkenntnis 33 (1):121-129.
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  48.  5
    Nancy J. Nersessian (1990). Barriers and Models: Comments on Margolis and Giere. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:441 - 444.
    Giere's assessment is that the cognitive sciences, especially cognitive psychology, have much to offer the philosophy of science as it attempts to develop theories of the growth, development, and change of scientific knowledge as human activities. Margolis produces a model of scientific change by drawing from recent work in the cognitive sciences and attempts to show how this model explains salient cases of conceptual change. While agreeing with Giere's assessment, I argue that Margolis provides the wrong model both for scientific (...)
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  49. Nancy J. Nersessian (1987). A Cognitive-Historical Approach to Meaning in Scientific Theories. In The Process of Science: Contemporary Philosophical Approaches to Understanding Scientific Practice. Distributors for the United States and Canada, Kluwer Academic Publishers
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  50. Nancy J. Nersessian (2002). Abstraction Via Generic Modeling in Concept Formation in Science. Mind and Society 3 (1):129-154.
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