For the most part, work on analogical problem solving has been noteworthy for its exclusion of adaptation (setting aside derivational analogy work as a special case). This has been due largely to the fact that models in this area have concentrated on domain-independent analogy techniques, viewing matters that appear too domain-specific as beyond the pale. This research strategy has led to gains in some areas. However, it has also led to losses in other areas, like adaptation. In the course of this talk, I will review what is known about adaptation in analogical problem solving. In the process, I will align theories of analogical problem solving with CBR adaptation techniques and look at whether they are essentially saying something different. The hope is that this alignment will admit some interesting insights about adaptation in both areas of research.