Abstract: This paper advocates the development of general models of dialog dynamics: across observables such as prosody, gesture, facial expression, proxemics, posture and gaze; across functions such as turn-taking, meta-communication, interpersonal relation management, and affect expression; and largely independently of semantic content. The paper also suggests a way to frame dialog dynamics as a machine learning problem, and surveys some issues and complications.