ABSTRACT
This chapter specifies the nature of the stimuli and responses to which the theory relates. It then defines precisely what is meant by rules and their extensions. Next, the chapter identifies some of the kinds of higher order rules allowed in the theory, also specifies the form of the theory itself. Following this, the chapter illustrates the theory, and suggests a general acclimatization and to propose some conjectures. The chapter further views a largely informal theory of structural learning which among other things synthesizes and extends proposed by Scandura. As is generally true of the information processing approach, this theory is deterministic, as opposed to probabilistic, in form. Unlike most existing theories, however, it consists of three interrelated partial theories: a theory of knowledge, an idealized, memory-free theory of structural learning, and an enriched theory which takes into account memory as well.
