David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Minds and Machines 14 (4):433-440 (2004)
I consider three aspects in which machine learning and philosophy of science can illuminate each other: methodology, inductive simplicity and theoretical terms. I examine the relations between the two subjects and conclude by claiming these relations to be very close.
|Keywords||inductive simplicity machine learning method philosophy of science theoretical terms|
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Reza Zamani (2010). An Object-Oriented View on Problem Representation as a Search-Efficiency Facet: Minds Vs. Machines. [REVIEW] Minds and Machines 20 (1):103-117.
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