Today there are solutions for some specific turn-taking problems, but no general model. We show how turn-taking can be reduced to two more general problems, prediction and selection. By predicting not only speech/silence but also prosodic features, this framework can also handle some related dialog decisions. To illustrate how such predictions can be made, we trained a neural network predictor. This was adequate to support some specific turn-taking decisions and was modestly accurate overall.