Describes a method of construction and representation of scientific knowledge, as a hierarchical information structure, using the propositional form of semanti‐net formulism. The method can be used for developing knowledge‐based systems and, in particular, Computer‐Assisted Learning (CAL) programs. The method is theoretically based on issues taken from both psychology and computer sciences, and particularly the cognitive aspects of memory organization and the conversation and comprehension processes. Scientific knowledge is regarded as being made up of three types of information: definitions, methods and procedures. Each type consists of information represented by separate and meaningful properties, together with their relationships and the processes that may occur in using this information during comprehension and conversation.
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