This report describes digital computer simulation efforts in a study of memory systems for two important cases: that of the individual the brain; and that of society, the library. A neural system model is presented in which a complex system is produced by connecting simple hypothetical neurons whose states change under application of a transformation rule at intervals determined by random time functions. Analogies of such a system to a library network are drawn. A word-concept model is described in terms of a master file of linked words and phrases with auxiliary files linked to the master. Applications of such a model for student exercises and for library-related and other research projects are discussed. Also discussed are models for library networks for three different subsystems: the computer processing center, the role of the human actors, and the distribution of materials. Such models, though principally developed for library systems analysis, are useful for their formal properties as memory system components. (Author)