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Jessica Pfeifer [7]Jessica Jera Pfeifer [1]
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Profile: Jessica Pfeifer (University of Maryland, Baltimore County)
  1. Sahotra Sarkar & Jessica Pfeifer (eds.) (2015). Philosophy of Science: An Encyclopedia. Routledge.
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  2. Jessica Pfeifer (2012). Mill and Lewis on Laws, Experimentation, and Systematization. Studies in History and Philosophy of Science Part A 43 (1):172-181.
  3. Jessica Pfeifer (2010). Nominalism and Inductive Generalizations. In P. D. Magnus & Jacob Busch (eds.), New Waves in Philosophy of Science. Palgrave Macmillan
     
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  4. Jessica Pfeifer (2009). Review of Elliott Sober, Evidence and Evolution: The Logic Behind the Science. [REVIEW] Notre Dame Philosophical Reviews 2009 (7).
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  5. Jessica Pfeifer (2006). The Use of Information Theory in Biology: Lessons From Social Insects. Biological Theory 1 (3):317-330.
    In this paper, I discuss how information theory has been used in the study of animal communication, as well as how these uses are justified. Biologists justify their use of Shannon’s information measures by the work they do in allowing for comparisons between different organisms and because they measure a quantity that is purported to be important for natural selection. I argue that there are problems with both sorts of justification. To make these difficulties clear, I focus on the use (...)
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  6. Sahotra Sarkar & Jessica Pfeifer (eds.) (2006). The Philosophy of Science: An Encyclopedia. Routledge.
    The philosophy of science is the branch of philosophy that examines the profound philosophical questions that arise from scientific research and theories. A sub-discipline of philosophy that emerged in the twentieth century, the philosophy of science is largely a product of the British and Austrian schools of thought and traditions. The first in-depth reference in the field that combines scientific knowledge with philosophical inquiry, The Philosophy of Science: An Encyclopedia is a two-volume set that brings together an international team of (...)
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  7. Jessica Pfeifer (2005). Why Selection and Drift Might Be Distinct. Philosophy of Science 72 (5):1135-1145.
    In this paper, it is argued that selection and drift might be distinct. This contradicts recent arguments by Brandon (forthcoming) and Matthen and Ariew (2002) that such a distinction “violates sound probabilistic thinking” (Matthen and Ariew 2002, 62). While their arguments might be valid under certain assumptions, they overlook a possible way to make sense of the distinction. Whether this distinction makes sense, I argue, depends on the source of probabilities in natural selection. In particular, if the probabilities used in (...)
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