This listing is intended as an introduction to the literature on Artificial Intelligence, €”i.e., to the literature dealing with the problem of making machines behave intelligently. We have divided this area into categories and cross-indexed the references accordingly. Large bibliographies without some classification facility are next to useless. This particular field is still young, but there are already many instances in which workers have wasted much time in rediscovering (for better or for worse) schemes already reported. In the last year or two this problem has become worse, and in such a situation just about any information is better than none. This bibliography is intended to serve just that purpose-to present some information about this literature. The selection was confined mainly to publications directly concerned with construction of artificial problem-solving systems. Many peripheral areas are omitted completely or represented only by a few citations.IRE Trans. on Human Factors in Electronics, HFE-2, pages 39-55

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IRE International Convention Record, pt 2, pp. 66-70

This paper briefly reviews the evidence for multistore theories of memory and points out some difficulties with the approach. An alternative framework for human memory research is then outlined in terms of depth or levels of processing. Some current data and arguments are reexamined in the light of this alternative framework and implications for further research considered.

"MANY EFFORTS have been made to discriminate,  categorize, and quantitate patterns, and  to reduce them into a usable machine language.  The results have ordinarily been methods or devices  with a high degree of specificity. For example, some  devices require a special type font; others can read  only one type font; still others require magnetic ink. We have an interest in decision-making circuits  with the following qualities: (1) measurable high reliability  in decision making, (2) either a high or a low  reliability input, and (3) possibly low reliability components.  The high specificity of the devices and  methods mentioned above was felt to be a drawback  for our purposes. All of these approaches prove upon inspection to center upon analysis of the specific  characteristics of patterns into parts, followed by a  synthesis of the whole from the parts. In these  studies, pattern recognition of the whole, that is, Gestalt recognition, was chosen as a more fruitful  avenue of approach and as a satisfactory problem for  the initial phases of the over-all study." Proceedings of the Eastern Joint Computer Conference, pp. 225-232, New York: Association for Computing Machinery

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