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This work is partly included in a project sponsored by Statens tekniska forskningsråd (Sweden). Berg, and Mr Voghera for reading the manuscript and making valuable suggestions (see also n. 11). Use the link below to share a full-text version of this article with your friends and colleagues.

MIT Press.

Research report RC 294, IBM, Yorktown Heights, New York

In Yovitts, M. and Cameron, S. (eds.) Self-organizing Systems. New York: Pergamon

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.

Group Report 54-15, Lincoln Laboratory, Massachusetts Institute of Technology, Lexington, Mass

Teddington Conference

"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