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Biological Classification: Toward a Synthesis of Opposing Methodologies

In E. Sober (ed.), Conceptual Issues in Evolutionary Biology. The Mit Press. Bradford Books. pp. 510--277 (1994)

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  1. Pattern Without Process: Eugen Smirnov and the Earliest Project of Numerical Taxonomy (1923–1938).Maxim V. Vinarski - 2022 - Journal of the History of Biology 55 (3):559-583.
    The progress towards mathematization or, in a broader context, towards an increased “objectivity” is one of the main trends in the development of biological systematics in the past century. It is commonplace to start the history of numerical taxonomy with the works of R. R. Sokal and P. H. A. Sneath that in the 1960s laid the foundations of this school of taxonomy. In this article, I discuss the earliest research program in this field, developed in the 1920s by the (...)
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  • Kuhnian values and cladistic parsimony.Richard Richards - 2002 - Perspectives on Science 10 (1):1-27.
    : According to Kuhn, theory choice is not governed by algorithms, but by values, which influence yet do not determine theory choice. Cladistic hypotheses, however, seem to be evaluated relative to a parsimony algorithm, which asserts that the best phylogenetic hypothesis is the one that requires the fewest character changes. While this seems to be an unequivocal evaluative rule, it is not. The application of the parsimony principle is ultimately indeterminate because the choice and individuation of characters that figure in (...)
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  • Ernst Mayr, the tree of life, and philosophy of biology.Maureen A. O’Malley - 2010 - Biology and Philosophy 25 (4):529-552.
    Ernst Mayr’s influence on philosophy of biology has given the field a particular perspective on evolution, phylogeny and life in general. Using debates about the tree of life as a guide, I show how Mayrian evolutionary biology excludes numerous forms of life and many important evolutionary processes. Hybridization and lateral gene transfer are two of these processes, and they occur frequently, with important outcomes in all domains of life. Eukaryotes appear to have a more tree-like history because successful lateral events (...)
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  • Systems of ordering data.Ernst Mayr - 1995 - Biology and Philosophy 10 (4):419-434.
    Four ordering systems have been used most frequently in taxonomy: (1) special purpose classifications, (2) downward classifications (identification schemes), (3) upward or grouping classifications (traditional), and (4) Hennigian phylogenetic systems. The special properties of these four systems are critically evaluated. Grouping classifications and phylogenetic systems have very different objectives: the former the documentation of similarity and closeness of relationship, the latter of phylogeny. Both are legitimate ordering systems.
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  • Understanding induction.John Macnamara - 1991 - British Journal for the Philosophy of Science 42 (1):21-48.
    The paper offers a new understanding of induction in the empirical sciences, one which assimilates it to induction in geometry rather than to statistical inference. To make the point a system of notions, essential to logically sound induction, is defined. Notable among them are arbitrary object and particular property. A second aim of the paper is to bring to light a largely neglected set of assumptions shared by both induction and deduction in the empirical sciences. This is made possible by (...)
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  • The role of theories in biological systematics.David L. Hull - 2001 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 32 (2):221-238.
  • Rational taxonomy and the natural system.Mae-Wan Ho & Peter T. Saunders - 1993 - Acta Biotheoretica 41 (4):289-304.
    Since Darwin's theory of evolution by natural selection, the idea of descent with modification came to dominate systematics, and so the study of morphology became subgugated to the reconstruction of phylogenies. Reinstating the organism in the theory of evolution (Ho & Saunders, 1979; Webster & Goodwin, 1982) leads to a project inrational taxonomy (Ho, 1986, 1988a), which attempts to classify biological forms on the basis of transformations on a given dynamical structure.Does rational taxonomy correspond to thenatural system that Linnaeus and (...)
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  • The role of theories in biological systematics.David L. Hull - 2001 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 32 (2):221-238.
    The role of scientific theories in classifying plants and animals is traced from Hennig's phylogenetics and the evolutionary taxonomy of Simpson and Mayr, through numerical phenetics, to present-day cladistics. Hennig limited biological classification to sister groups so that this one relation can be expressed unambiguously in classifications. Simpson and Mayr were willing to sacrifice precision in representation in order to include additional features of evolution in the construction of classifications. In order to make classifications more objective, precise and quantitative, numerical (...)
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  • Handbook of Evolutionary Thinking in the Sciences.Thomas Heams, Philippe Huneman, Guillaume Lecointre & Marc Silberstein (eds.) - 2015 - Springer.
    The Darwinian theory of evolution is itself evolving and this book presents the details of the core of modern Darwinism and its latest developmental directions. The authors present current scientific work addressing theoretical problems and challenges in four sections, beginning with the concepts of evolution theory, its processes of variation, heredity, selection, adaptation and function, and its patterns of character, species, descent and life. The second part of this book scrutinizes Darwinism in the philosophy of science and its usefulness in (...)
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  • Towards a new metaphysics: The need for an enlarged philosophy ofscience. [REVIEW]Walter J. Bock - 2000 - Biology and Philosophy 15 (4):603-621.
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  • Ernst Mayr, naturalist: His contributions to systematics and evolution. [REVIEW]Walter J. Bock - 1994 - Biology and Philosophy 9 (3):267-327.
    Ernst Mayr''s scientific career continues strongly 70 years after he published his first scientific paper in 1923. He is primarily a naturalist and ornithologist which has influenced his basic approach in science and later in philosophy and history of science. Mayr studied at the Natural History Museum in Berlin with Professor E. Stresemann, a leader in the most progressive school of avian systematics of the time. The contracts gained through Stresemann were central to Mayr''s participation in a three year expedition (...)
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  • Different structures for concepts of individuals, stuffs, and real kinds: One mama, more milk, and many mice.Paul Bloom - 1998 - Behavioral and Brain Sciences 21 (1):66-67.
    Although our concepts of “Mama,” “milk,” and “mice” have much in common, the suggestion that they are identical in structure in the mind of the prelinguistic child is mistaken. Even infants think about objects as different from substances and appreciate the distinction between kinds (e.g., mice) and individuals (e.g., Mama). Such cognitive capacities exist in other animals as well, and have important adaptive consequences.
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  • Special Issue: Philosophical Considerations in the Teaching of Biology. Part II, Evolution, Development and Genetics.Kostas Kampourakis (ed.) - 2013 - Springer (Science & Education).
  • Phylogenetic classification.Claudio Gnoli - 2006 - Knowledge Organization 33 (3):138-152.
    One general principle in the construction of classification schemes is that of grouping phenomena to be classified according to their shared origin in evolution or history (phylogenesis). In general schemes, this idea has been applied by several classificationists in identifying a series of integrative levels, each originated from the previous ones, and using them as the main classes. In special schemes, common origin is a key principle in many domains: examples are given from the classification of climates, of organisms, and (...)
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  • Ontological foundations in knowledge organization: the theory of integrative levels applied in citation order.Claudio Gnoli - 2011 - Scire 17 (1):29-34.
    The field of knowledge organization (KO) can be described as composed of the four distinct but connected layers of theory, systems, representation, and application. This paper focuses on the relations between KO theory and KO systems. It is acknowledged how the structure of KO systems is the product of a mixture of ontological, epistemological, and pragmatical factors. However, different systems give different priorities to each factor. A more ontologically-oriented approach, though not offering quick solutions for any particular group of users, (...)
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