Abstract

In this article, we show how the phenomenon of self-deception when adequately analyzed, can be incorporated into a predictive processing framework. We describe four strategies by which a subject may become self-deceived to account for typical cases of self-deception. We then argue that the four strategies can be modeled within this framework, under the assumption that a satisfying account of motivation is possible within predictive processing. Finally, we outline how we can ground this assumption by discussing how such a systematic model of motivation may be developed using the distinction between a world-model and a self-model.