Resurgence is typically defined as an increase of a previously extinguished target response when a more recently reinforced alternative response is placed on extinction. In the past decade, many studies have revealed various independent variables affecting the magnitude and pattern of resurgence. Some theories and models also have been proposed to predict the effects of those variables on resurgence. Recently, Shahan and Craig (2017) proposed a new model of resurgence called the Resurgence as Choice (RaC) model. This model assumes that resurgence can be viewed as the same process as that governing choice behavior. Specifically, the RaC model suggests that probability of a target response is a function of the relative values of the target and alternative options according to the matching law, and the values of options across time are affected by the relative recencies of past experiences according to the temporal weighting rule. In this article, I briefly review the general findings of resurgence and the quantitative model of resurgence based on behavioral momentum theory. I then give a general outline of the RaC model and finally discuss some implications and problems of the model.

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