The concurrence of the AIC and the BIC seems to give a further motivation for our intuitive preference for simple models over more complex ones. Indeed, other model selection tools, like the deviance information criterion (Spiegelhalter et al 2002) and the approach based on minimum description length (Grunwald 2007), also result in expressions that feature a term that penalizes complex models. However, this is not to say that the dimension term that we know from the information criteria exhausts the notion of model complexity. There is ongoing debate in the philosophy of science concerning the merits of model selection in explications of the notion of simplicity, informativeness, and the like (see, for example, Sober 2004, Romeijn and van de Schoot 2008, Romeijn et al 2012, Sprenger 2013).