A computer that issues a rate demand for nil dollars and nil cents (and a notice to appear in court if you do not pay immediately) is not a maverick … - Gordon Pask

Given a realistically sized task (and assuming that he cannot already perform it), a student is unable to generate the required performance strategy all at once. Instead, he directs his attention to various facets or subtasks and musters subroutines that build up a performance strategy bit by bit. The process is carried out by a learning strategy which, in the free learning subject, may be innate or acquired and which, for the student, is imposed externally by a teacher or learning system.

To summarize the matter, teaching systems ought to be conversational in form and so devised that strategies are matched to individual competence.

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.