In this interactive element for Chapter 11, you can experience the predictions of the rule-based and the exemplar-based strategies in different environments—and thus explore the ecological rationality of these strategies. In particular, the goal is to demonstrate how the rule-based and the exemplar-based strategies differ in extrapolation, that is, the ability to correctly judge the criterion value of new objects that have criterion values that are more extreme than those experienced in a previous training phase. You can contrast two environments: a linear environment, in which the criterion values of the different objects are a linear additive function of the cue values; and a nonlinear environment, in which the criterion value of the objects follows from the cue values in a nonlinear, cubic fashion. The cue profiles of the different objects and their criterion values in the two environments are shown in the table below. Importantly, you can also vary which and how many objects of the environment are assumed to be included in the training phase—and which serve to inform the parameters of the strategies about the structure of the environment.
|# Object||Cue 1||Cue 2||Cue 3||Cue 4||Use in training||Linear environment||Nonlinear environment|