The Model of Human Visual Long-Term Memory with Ability for Generalization
Proceedings of the Second International Joint Conference on Artificial Intelligence. Pages 119-128.
Abstract
A model of human visual long-term memory with ability tor seneralization baa been synthesized. Perceptive structure of the system may be either parallel (multilayered retina) or successive (a network scanning a contour by tracing). The synthesized model of retina performs a number of transformation of information as in a visual analyzer - such as intensification of contrast between an object and its background, contour or outline ~xtraction, reaction to the movement of an object (in a particular direction at a certain velocity). It is the code tree that is used as a structure for storing codes in long-term memory. This structure explains the dependence of the response time upon the number of alternatives and allows studying the dynamics of the following trajectoria (path) reduction occuring during learning process.
@inproceedings{ijcai1971p13,
title = {The Model of Human Visual Long-Term Memory with Ability for Generalization},
author = {Granovskaya, Rada M.},
booktitle = {Proceedings of the Second International Joint Conference on
Artificial Intelligence, {IJCAI-71}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {D.C. Cooper},
pages = {119--128},
year = {1971},
url = {https://ijcai.org/proceedings/1971/13},
}
TY - CPAPER TI - The Model of Human Visual Long-Term Memory with Ability for Generalization AU - Granovskaya, Rada M. T2 - Proceedings of the Second International Joint Conference on Artificial Intelligence, IJCAI-71 PB - International Joint Conferences on Artificial Intelligence PY - 1971 SP - 119 EP - 128 UR - https://ijcai.org/proceedings/1971/13 ER -Copied
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