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Information and Explanatory Goodness
1School of Computing, Ulster University, York St, Belfast, BT15 1ED UK.
Abstract:
I propose a qualitative Bayesian account of explanatory goodness that is analogous to the Bayesian account of incremental confirmation. This is achieved by means of a complexity criterion according to which an explanation h is good if the reduction in the complexity of the explanandum e brought about by h (the explanatory gain) is greater than the additional complexity introduced by h in the context of e (the explanatory cost). To illustrate the account, I apply it in the context of ad hoc hypotheses.
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