Learning algorithm for an intelligent decision making system based on multi-agent neurocognitive architectures

2021 ◽  
Vol 66 ◽  
pp. 82-88
Author(s):  
Zalimhan Nagoev ◽  
Inna Pshenokova ◽  
Olga Nagoeva ◽  
Zaurbek Sundukov
Author(s):  
Zdzisław Kowalczuk ◽  
Michał Czubenko

Intelligent decision-making system for autonomous robots The paper gives an account of research results concerning a project on creating a fully autonomous robotic decision-making system, able to interact with its environment and based on a mathematical model of human cognitive-behavioural psychology, with some key elements of personality psychology included. The principal idea of the paper is focused on the concept of needs, with a certain instrumental role of emotions.


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