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Unifying Scientific Theories
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  • Cited by 63
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    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Ishida, Yoichi 2018. In dialectical tension: realist and instrumentalist attitudes in scientific practice. Synthese,

    Swanson, Link R. 2018. Unifying Theories of Psychedelic Drug Effects. Frontiers in Pharmacology, Vol. 9, Issue. ,

    McCoy, C. D. and Massimi, Michela 2018. Simplified models: a different perspective on models as mediators. European Journal for Philosophy of Science, Vol. 8, Issue. 1, p. 99.

    Morrison, Margaret 2018. Building Theories. Vol. 41, Issue. , p. 21.

    Stöltzner, Michael 2017. The variety of explanations in the Higgs sector. Synthese, Vol. 194, Issue. 2, p. 433.

    Bangu, Sorin 2017. Scientific explanation and understanding: unificationism reconsidered. European Journal for Philosophy of Science, Vol. 7, Issue. 1, p. 103.

    Kao, Molly 2017. Unification beyond justification: a strategy for theory development. Synthese,

    Rescorla, Michael 2017. Philosophy and Computing. Vol. 128, Issue. , p. 5.

    Anzola, David Barbrook-Johnson, Peter and Cano, Juan I. 2017. Self-organization and social science. Computational and Mathematical Organization Theory, Vol. 23, Issue. 2, p. 221.

    2016. Re-Imagining Nature: The Promise of a Christian Natural Theology. p. 184.

    Filomeno, Aldo 2016. Fundamentality, Effectiveness, and Objectivity of Gauge Symmetries. International Studies in the Philosophy of Science, Vol. 30, Issue. 1, p. 19.

    Zemplén, Gábor A. 2016. Paradoxes of Conflicts. Vol. 12, Issue. , p. 47.

    Ippoliti, Emiliano 2016. Model-Based Reasoning in Science and Technology. Vol. 27, Issue. , p. 119.

    Weiskopf, Daniel A. 2016. Integrative Modeling and the Role of Neural Constraints. Philosophy of Science, Vol. 83, Issue. 5, p. 674.

    Burnston, Daniel C. 2016. Computational neuroscience and localized neural function. Synthese, Vol. 193, Issue. 12, p. 3741.

    Liefke, Kristina 2015. A single-type logic for natural language. Journal of Logic and Computation, Vol. 25, Issue. 4, p. 1111.

    Petkov, Stefan 2015. Explanatory unification and conceptualization. Synthese, Vol. 192, Issue. 11, p. 3695.

    Nugayev, Rinat M. 2015. Communicative Rationality of the Maxwellian Revolution. Foundations of Science, Vol. 20, Issue. 4, p. 447.

    Colombo, Matteo and Hartmann, Stephan 2015. Bayesian Cognitive Science, Unification, and Explanation. The British Journal for the Philosophy of Science, p. axv036.

    Brown, M. Bryson and Priest, Graham 2015. Chunk and permeate II: Bohr’s hydrogen atom. European Journal for Philosophy of Science, Vol. 5, Issue. 3, p. 297.


Book description

This book is about the methods used for unifying different scientific theories under one all-embracing theory. The process has characterized much of the history of science and is prominent in contemporary physics; the search for a 'theory of everything' involves the same attempt at unification. Margaret Morrison argues that, contrary to popular philosophical views, unification and explanation often have little to do with each other. The mechanisms that facilitate unification are not those that enable us to explain how or why phenomena behave as they do. A feature of this book is an account of many case studies of theory unification in nineteenth- and twentieth-century physics and of how evolution by natural selection and Mendelian genetics were unified into what we now term evolutionary genetics.


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