Ockham's razor, empirical complexity, and truth-finding efficiencyby: Kevin T Kelly
Theoretical Computer Science, Vol. 383, No. 2-3. (18 September 2007), pp. 270-289.
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Notes for this articleKelly points to this theory as an alternative to SRM to explain reliable reasoning at the end of his and Mayo-Wilson's review of Harman and Kulkarni's "Reliable Reasoning" book.
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AbstractThe nature of empirical simplicity and its relationship to scientific truth are long-standing puzzles. In this paper, empirical simplicity is explicated in terms of empirical effects, which are defined in terms of the structure of the inference problem addressed. Problem instances are classified according to the number of empirical effects they present. Simple answers are satisfied by simple worlds. An efficient solution achieves the optimum worst-case cost over each complexity class with respect to such costs as the number of retractions or errors prior to convergence and elapsed time to convergence. It is shown that always choosing the simplest theory compatible with experience and hanging on to it while it remains the simplest is both necessary and sufficient for efficiency.
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