Newton's Classic Deductions from Phenomena
PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:183 - 196 (1990)
| Abstract | I take Newton's arguments to inverse square centripetal forces from Kepler's harmonic and areal laws to be classic deductions from phenomena. I argue that the theorems backing up these inferences establish systematic dependencies that make the phenomena carry the objective information that the propositions inferred from them hold. A review of the data supporting Kepler's laws indicates that these phenomena are Whewellian colligations-generalizations corresponding to the selection of a best fitting curve for an open-ended body of data. I argue that the information theoretic features of Newton's corrections of the Keplerian phenomena to account for perturbations introduced by universal gravitation show that these corrections do not undercut the inferences from the Keplerian phenomena. Finally, I suggest that all of Newton's impressive applications of Universal gravitation to account for motion phenomena show an attempt to deliver explanations that share these salient features of his classic deductions from phenomena. | |||||||||
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William Harper & Robert DiSalle (1996). Inferences From Phenomena in Gravitational Physics. Philosophy of Science 63 (3):54.
Scott Tanona (2000). The Anticipation of Necessity: Kant on Kepler's Laws and Universal Gravitation. Philosophy of Science 67 (3):421-443.
Howard Stein (1990). "From the Phenomena of Motions to the Forces of Nature": Hypothesis or Deduction? PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:209 - 222.
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J. Worrall (2000). The Scope, Limits, and Distinctiveness of the Method of 'Deduction From the Phenomena': Some Lessons From Newton's 'Demonstrations' in Optics. British Journal for the Philosophy of Science 51 (1):45-80.
Uljana Feest (2011). What Exactly is Stabilized When Phenomena Are Stabilized? Synthese 182 (1):57-71.
James W. McAllister (1997). Phenomena and Patterns in Data Sets. Erkenntnis 47 (2):217-228.
Jim Woodward (2000). Data, Phenomena, and Reliability. Philosophy of Science 67 (3):179.
Wayne Myrvold (2002). Model Selection, Simplicity, and Scientific Inference. Proceedings of the Philosophy of Science Association 2002 (3):S135-S149.
Margaret Morrison (1992). Some Complexities of Experimental Evidence. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:49 - 62.
Benedikt Löwe & Thomas Müller (2011). Data and Phenomena in Conceptual Modelling. Synthese 182 (1):131-148.
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