Application of Methods of Adaptive Learning to the Problem of Automatic Decision Making Under Conditions of a Priori Uncertainty
Proceedings of the Fourth International Joint Conference on Artificial Intelligence. Learning Debugging And Automatic Programming. Pages 223-224.
Abstract
The paper deals with the adaptive approach to decision making as applied to the problema ot biological and medical cybernetics characterised by a priori Wlcertain ty. A number ot algorithms is suggested which, being baaed on the analisis ot apoateriorJ information yield the most adequate decision rule to a specific problem. The learning is achieved b.1 the stochastic approximation method and by means ot the correction ot the decision rule structure The methods discussed have been realized on a computer and used in a cybernetic medical centre.
@inproceedings{ijcai1975p34,
title = {Application of Methods of Adaptive Learning to the Problem of Automatic Decision Making Under Conditions of a Priori Uncertainty},
author = {Akhutin, V. and Ioffe, M. and Kotler, G. and Rats, A.},
booktitle = {Proceedings of the Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-75}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Patrick Winston and Carl Hewitt},
pages = {223--224},
year = {1975},
note = {Learning Debugging And Automatic Programming},
url = {https://ijcai.org/proceedings/1975/34},
}
TY - CPAPER TI - Application of Methods of Adaptive Learning to the Problem of Automatic Decision Making Under Conditions of a Priori Uncertainty AU - Akhutin, V. AU - Ioffe, M. AU - Kotler, G. AU - Rats, A. T2 - Proceedings of the Fourth International Joint Conference on Artificial Intelligence, IJCAI-75 PB - International Joint Conferences on Artificial Intelligence PY - 1975 SP - 223 EP - 224 UR - https://ijcai.org/proceedings/1975/34 ER -Copied
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