Simplicity in Model Selection

Statistical techniques, such as the Akaike Information Criterion (AIC), do not vindicate appeals to simplicity as a general principle. AIC depends on certain strong background assumptions independent of simplicity. We impose a simplicity interpretation on the formula it produces.