---
title: "Application of Methods of Adaptive Learning to the Problem of Automatic Decision Making Under Conditions of a Priori Uncertainty"
authors:
  - "V. Akhutin"
  - "M. Ioffe"
  - "G. Kotler"
  - "A. Rats"
doi: ""
url: "https://ijcai.org/proceedings/1975/34"
pdf: "https://ijcai.org/proceedings/1975/0034.pdf"
venue: "Proceedings of the Fourth International Joint Conference on Artificial Intelligence"
year: 1975
pages: "223-224"
track: "Learning Debugging And Automatic Programming"
keywords:
---

# Application of Methods of Adaptive Learning to the Problem of Automatic Decision Making Under Conditions of a Priori Uncertainty

V. Akhutin, M. Ioffe, G. Kotler, A. Rats

*Proceedings of the Fourth International Joint Conference on Artificial Intelligence*, 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.