What is the problem of simplicity?
| Abstract | The problem of simplicity involves three questions: How is the simplicity of a hypothesis to be measured? How is the use of simplicity as a guide to hypothesis choice to be justified? And how is simplicity related to other desirable features of hypotheses -- that is, how is simplicity to be traded-off? The present paper explores these three questions, from a variety of viewpoints, including Bayesianism, likelihoodism, and the framework of predictive accuracy formulated by Akaike (1973). It may turn out that simplicity has no global justification -- that its justification varies from problem to problem. | |||||||||
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Samuel A. Richmond (1996). A Simplification of the Theory of Simplicity. Synthese 107 (3):373 - 393.
Nicholas Maxwell (1979). Induction, Simplicity and Scientific Progress. Scientia 114:629-653.
Nicholas Maxwell, Simplicity. PhilSci Archive.
Jerome M. Segal (1999). Graceful Simplicity: Toward a Philosophy and Politics of Simple Living. H. Holt & Co..
I. J. Good & Alan F. McMichael (1984). A Pragmatic Modification of Explicativity for the Acceptance of Hypotheses. Philosophy of Science 51 (1):120-127.
Prasanta S. Bandyopadhayay, Robert J. Boik & Prasun Basu (1996). The Curve Fitting Problem: A Bayesian Approach. Philosophy of Science 63 (3):272.
Arnold Zellner, Hugo A. Keuzenkamp & Michael McAleer (eds.) (2001). Simplicity, Inference and Modeling: Keeping It Sophisticatedly Simple. Cambridge University Press.
Elliott Sober (1975). Simplicity. Clarendon Press.
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