Reasoning in Biological Discoveries: Essays on Mechanisms, Interfield Relations, and Anomaly Resolution
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Cambridge University Press (2006)
Reasoning in Biological Discoveries brings together a series of essays which focus on one of the most heavily debated topics of scientific discovery today. Collected together and richly illustrated for the first time in this edition, Darden's essays represent a ground-breaking foray into one of the major problems facing scientists and philosophers of science. Divided into three sections, the essays focus on broad themes, notably historical and philosophical issues at play in discussions of biological mechanism; and the problem of developing and refining reasoning strategies, including interfield relations and anomaly resolution. Published here for the first time, Darden summarizes the philosophy of discovery and elaborates on the role that mechanisms play in biological discovery. Throughout the book, she uses historical case studies to extract advisory reasoning strategies for discovery. Examples in genetics, molecular biology, biochemistry, immunology, neuroscience, and evolutionary biology reveal the process of discovery in action.
|Keywords||Biology Philosophy Mechanism (Philosophy|
|Categories||categorize this paper)|
|Buy the book||$9.99 used (91% off) $29.17 new (75% off) $44.83 direct from Amazon (11% off) Amazon page|
|Call number||QH331.D26 2006|
|ISBN(s)||0521117275 9780521858878 0521858879 1139458612 9781139458610|
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Citations of this work BETA
Arnon Levy (2013). Three Kinds of New Mechanism. Biology and Philosophy 28 (1):99-114.
William Bechtel (2009). Constructing a Philosophy of Science of Cognitive Science. Trends in Cognitive Sciences 1 (3):548-569.
Ingo Brigandt (2010). Beyond Reduction and Pluralism: Toward an Epistemology of Explanatory Integration in Biology. [REVIEW] Erkenntnis 73 (3):295-311.
Gualtiero Piccinini (2010). The Mind as Neural Software? Understanding Functionalism, Computationalism, and Computational Functionalism. Philosophy and Phenomenological Research 81 (2):269-311.
Sabina Leonelli (2012). Classificatory Theory in Data-Intensive Science: The Case of Open Biomedical Ontologies. International Studies in the Philosophy of Science 26 (1):47 - 65.
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