ABSTRACT
Learning about observations from the theory and learning how to use the theory from work with observations is an interactive enterprise. Beginning in Chapter 7, we have been pursuing that with respect to how a NSNX + cognition view might give insight into what was happening in data from cooperation experiments. But I have often mentioned, because it is essential not to let it out of sight, that what motivates all this concern with the artifactual cooperation games is that that a theory which works well in accounting for experimental data should yield insight into how cooperation works beyond the lab. And translating what can be learned from working with data from the artificial context of laboratory games into something that can be fruitfully applied in natural settings also requires learning by doing. Can situations in the world be found where the theoretical apparatus developed here has some bite? If so, how would that work? This is a large and difficult topic, certainly not to be settled by the few pages I will offer here. But I do hope to open the door on this large topic.
