ABSTRACT
In the theory of knowledge the theorist's task is to devise a finite rule set K which accounts for a given class. This chapter discusses the idealized (memory-free) theory of structural learning. There are two major problems with which the behavior theorist must deal. First, he must have some way of identifying the knowledge had by the subject in terms of that identified in his role as observer. Second, the theorist must have some way of explaining and predicting the subject's learning and performance. The basic approach rests on the following assumptions: The behavior theorist either knows or can manipulate the subject's goal with some known degree of specificity. Performance is goal directed. This assumption provides a basis for determining which (parts) of the rules in K individual subjects know. Learning and motivation depend on shifting control between given and higher order goals in a specified manner.
