David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Foundations of Science 15 (1):49-78 (2010)
This paper argues that scientific studies distinguish themselves from other studies by a combination of their processes, their (knowledge) elements and the roles of these elements. This is supported by constructing a process model. An illustrative example based on Newtonian mechanics shows how scientific knowledge is structured according to the process model. To distinguish scientific studies from research and scientific research, two additional process models are built for such processes. We apply these process models: (1) to argue that scientific progress should emphasize both the process of change and the content of change; (2) to chart the major stages of scientific study development; and (3) to define “science”.
|Keywords||Process model Methodology Philosophy of science Knowledge management|
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References found in this work BETA
Peter Achinstein (1965). Theoretical Models. British Journal for the Philosophy of Science 16 (62):102-120.
Peter Alexander (1958). Theory-Construction and Theory-Testing. British Journal for the Philosophy of Science 9 (33):29-38.
Atocha Aliseda (2004). Logics in Scientific Discovery. Foundations of Science 9 (3):339-363.
D. M. Bailer-Jones (1999). Creative Strategies Employed in Modelling: A Case Study. [REVIEW] Foundations of Science 4 (4):375-388.
Daniela M. Bailer-Jones (2003). When Scientific Models Represent. International Studies in the Philosophy of Science 17 (1):59 – 74.
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