A number of scholars argue that human and animal decision making, at least to the extent that it is driven by representational mental states, should be seen to be the result of the application of a vast array of highly specialized decision rules. By contrast, other scholars argue that we should see human and animal representational decision making as the result of the application of a handful general principles—such as expected utility maximization—to a number of specific instances. This chapter shows that, using the results of chapters 5 and 6, it becomes possible to move this dispute forwards: the account of the evolution of conative representational decision making defended in chapter 6 together with the account of the evolution of cognitive representational decision making defended in chapter 5, makes clear that both sides of this dispute contain important insights, and that it is possible to put this entire dispute on a clearer and more precise foundation. Specifically, I show that differentially general decision rules are differentially adaptive in different circumstances: certain particular circumstances favor specialized decision making, and certain other circumstances favor more generalist decision making.
Asymptotic analysis of the expected utility maximization problem with respect to perturbations of the numéraire
