Models are not adequately evaluated simply by whether they capture the data, after the fact. Other criteria are needed. One criterion is parsimony; but utility and generality are at least as important. Even with respect to parsimony, however, the case against feedback is not as straight-forward as Norris et al. present it. We use feedback consistency effects to illustrate these points.
|Number of pages||2|
|Journal||Behavioral and Brain Sciences|
|Publication status||Published - 2000|