A [learning] style is a disposition to adopt one class of learning strategy. - Gordon Pask

An earlier paper (Pask, 1976) introduced conversational techniques, some involving a human participant in dialogue with a student, others involving a mechanically or computer implemented 'participant' through which the student 'talks to himself' under restrictions imposed by the device. In either case (human or mechanical monitoring) the subject matter of a conversation is represented in a liberally conceived, but standard, fashion, as a conversational domain consisting in an entailment structure (embodying one or more description schemes and indicating the many ways in which one topic may be known in terms of or derived from others) and behaviour graphs (one for each topic in the domain) that prescribe what may be done to model or explain the topic in question. Within this framework, the conversational techniques secure, or approximate, a standard condition for experiments on learning.

Holists, either irredundant or redundant commit mistakes due to simple over-generalization (for example, that (β) always implies "Bushy Tail" which is true for only some subspecies) or systemic over-generalization to render the classification scheme more rational or symmetrical than it actually is (for example, falsely naming a subspecies "Bit QL" on the evidence that Q stands for "4-legged" and L stands for "Linear" together with the valid inference that a 4-legged linear creature exists. A serialst is prone to list the subspecies by examining picture cards in Class A. If he is to be successful, he checks the relevance of the information entering his list by forming single predicate hypotheses.

Cybernetics is a young discipline which, like applied mathematics, cuts across the entrenched departments of natural science; the sky, the earth, the animals and the plants. Its interdisciplinary character emerges when it considers economy not as an economist, biology not as a biologist, engines not as an engineer. In each case its theme remains the same, namely, how systems regulate themselves, reproduce themselves, evolve and learn. Its high spot is the question of how they organize themselves. A cybernetic laboratory has a varied worksheet - concept formation in organized groups, teaching machines, brain models, and chemical computers for use in a cybernetic factory. As pure scientists we are concerned with brain-like artifacts, with evolution, growth and development; with the process of thinking and getting to know about the world. Wearing the hat of applied science, we aim to create what Boulanger,' in his presidential address to the International Association of Cybernetics, called the instruments of a new industrial revolution - control mechanisms that lay their own plans.