David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
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Cambridge University Press (2001)
The idea that simplicity matters in science is as old as science itself, with the much cited example of Ockham's Razor, 'entia non sunt multiplicanda praeter necessitatem': entities are not to be multiplied beyond necessity. A problem with Ockham's razor is that nearly everybody seems to accept it, but few are able to define its exact meaning and to make it operational in a non-arbitrary way. Using a multidisciplinary perspective including philosophers, mathematicians, econometricians and economists, this monograph examines simplicity by asking six questions: What is meant by simplicity? How is simplicity measured? Is there an optimum trade-off between simplicity and goodness-of-fit? What is the relation between simplicity and empirical modelling? What is the relation between simplicity and prediction? What is the connection between simplicity and convenience? The book concludes with reflections on simplicity by Nobel Laureates in Economics.
|Keywords||Simplicity (Philosophy Inference Econometrics|
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|Buy the book||$38.60 used (65% off) $100.36 new (9% off) $110.00 direct from Amazon Amazon page|
|Call number||B105.S55.S54 2001|
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Citations of this work BETA
Guillaume Rochefort-Maranda (2016). Simplicity and Model Selection. European Journal for Philosophy of Science 6 (2):261-279.
Kristen Intemann & Inmaculada de Melo-Martín (2014). Are There Limits to Scientists' Obligations to Seek and Engage Dissenters? Synthese 191 (12):2751-2765.
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