The magnitude of the documentation problem makes its solution one of extreme economic importance. Increasing awareness of the inadequacy of traditional library methods has led to the development during the past decade, of a number of nonconventional techniques for searching and correlating large files of recorded information.
The several processes of human memory are postulated and models are described for simulating the more routine human operations involved in selecting desired information from large stores of documents.
The analysis and encoding of metallurgical literature for searching with the Western Reserve University Searching Selector a newly designed, special-purpose computer are summarized. Examples of programming of searches with general-purpose computers are presented.
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