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  1. The structure of scientific inference.Mary B. Hesse - 1974 - [London]: Macmillan.
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  • Should physicists preach what they practice?Nancy J. Nersessian - 1995 - Science & Education 4 (3):203-226.
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  • Faraday to Einstein: Constructing Meaning in Scientific Theories. Nancy J. Nersessian. [REVIEW]Patrick Enfield - 1985 - Philosophy of Science 52 (4):641-642.
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  • Faraday to Einstein: constructing meaning in scientific theories.Nancy J. Nersessian - 1984 - Hingham, MA: 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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  • Aether/Or: The Creation of Scientific Concepts.Nancy J. Nersessian - 1984 - Studies in History and Philosophy of Science Part A 15 (3):175.
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  • Scientific change: Philosophical models and historical research.Larry Laudan, Arthur Donovan, Rachel Laudan, Peter Barker, Harold Brown, Jarrett Leplin, Paul Thagard & Steve Wykstra - 1986 - Synthese 69 (2):141 - 223.
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  • Explaining Science: A Cognitive Approach. [REVIEW]Jeffrey S. Poland - 1988 - Philosophical Review 100 (4):653-656.
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  • The aim and structure of physical theory.Pierre Maurice Marie Duhem - 1954 - Princeton,: Princeton University Press.
    This classic work in the philosophy of physical science is an incisive and readable account of the scientific method. Pierre Duhem was one of the great figures in French science, a devoted teacher, and a distinguished scholar of the history and philosophy of science. This book represents his most mature thought on a wide range of topics.
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  • Selection type theories.Lindley Darden & Joseph A. Cain - 1989 - Philosophy of Science 56 (1):106-129.
    Selection type theories solve adaptation problems. Natural selection, clonal selection for antibody production, and selective theories of higher brain function are examples. An abstract characterization of typical selection processes is generated by analyzing and extending previous work on the nature of natural selection. Once constructed, this abstraction provides a useful tool for analyzing the nature of other selection theories and may be of use in new instances of theory construction. This suggests the potential fruitfulness of research to find other theory (...)
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  • Categorization and representation of physics problems by experts and novices.Michelene T. H. Chi, Paul J. Feltovich & Robert Glaser - 1981 - Cognitive Science 5 (2):121-52.
    The representation of physics problems in relation to the organization of physics knowledge is investigated in experts and novices. Four experiments examine the existence of problem categories as a basis for representation; differences in the categories used by experts and novices; differences in the knowledge associated with the categories; and features in the problems that contribute to problem categorization and representation. Results from sorting tasks and protocols reveal that experts and novices begin their problem representations with specifiably different problem categories, (...)
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  • Nature's capacities and their measurement.Nancy Cartwright - 1989 - New York: Oxford University Press.
    Ever since David Hume, empiricists have barred powers and capacities from nature. In this book Cartwright argues that capacities are essential in our scientific world, and, contrary to empiricist orthodoxy, that they can meet sufficiently strict demands for testability. Econometrics is one discipline where probabilities are used to measure causal capacities, and the technology of modern physics provides several examples of testing capacities (such as lasers). Cartwright concludes by applying the lessons of the book about capacities and probabilities to the (...)
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  • Sellars, concepts, and conceptual change.Harold I. Brown - 1986 - Synthese 68 (August):275-307.
    A major theme of recent philosophy of science has been the rejection of the empiricist thesis that, with the exception of terms which play a purely formal role, the language of science derives its meaning from some, possibly quite indirect, correlation with experience. The alternative that has been proposed is that meaning is internal to each conceptual system, that terms derive their meaning from the role they play in a language, and that something akin to "meaning" flows from conceptual framework (...)
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  • Galileo Studies.Alexandre Koyré - 1978 - Humanities Press.
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  • Induction and Analogy in Mathematics.George Pólya - 1973 - Princeton University Press.
    A guide to the practical art of plausible reasoning, this book has relevance in every field of intellectual activity. Professor Polya, a world-famous mathematician from Stanford University, uses mathematics to show how hunches and guesses play an important part in even the most rigorously deductive science. He explains how solutions to problems can be guessed at; good guessing is often more important than rigorous deduction in finding correct solutions. Vol. I, on Induction and Analogy in Mathematics, covers a wide variety (...)
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  • Scientific Realism or Irenic Instrumentalism: A Critique of Nagel and Feyerabend on Theoretical Explanation.Wilfrid Sellars - 1965 - In Robert Cohen Max Wartofsky (ed.), Boston Studies in the Philosophy of Science, Vol. II,. pp. 171-204.
    Sellars argues against Nagelian instrumentalism for his version (not Feyerabend's) of scientific realism.
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  • The Aim and Structure of Physical Theory.Pierre Duhem & Philip P. Wiener - 1955 - Science and Society 19 (1):85-87.
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  • Reasoning from Imagery and Analogy in Scientific Concept Formation.Nancy J. Nersessian - 1988 - 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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  • Faraday to Einstein: Constructing Meaning in Scientific Theories.Nancy J. Nersessian - 1987 - British Journal for the Philosophy of Science 38 (4):575-577.
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  • How do Scientists Think? Capturing the Dynamics of Conceptual Change in Science.Nancy Nersessian - 1992 - In R. Giere & H. Feigl (eds.), Cognitive Models of Science. University of Minnesota Press. pp. 3--45.
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