This article is about experiments investigating teaching and learning processes and their
effects on students. Specifically, the laboratory experiment method aims to determine if using …

This study explores the implementation of the analytic hierarchy process in usability
evaluations, specifically focusing on user interface assessment during software …

This paper discusses the identification and resolution of social dilemmas in multi-agent
reinforcement learning. A multi-agent environment was developed to simulate the movement …

The article discusses the use of linear, polynomial and k-dimensional general linear fit for
fitting the Keeling Curve in the LabVIEW environment. Description of mathematical models …

Аннотация В статье представлен аналитический обзор моделей и рисков системы
воспроизводства научных кадров по научной специальности «1.2. 1. Искусственный …

This paper presents a generalized graphical outline of the current state of the art in the
development of Markov decision processes (MDPs). This systematization opens ways to …

Aggregation operators are widely used in decision making applications, but the aggregation
operator synthesis process is difficult to understand by experts, therefore various …

This paper deals with distributed multi-agent reinforcement learning based on feudal
networks. The reinforcement learning, and the features of distributed reinforcement learning …

At the moment, the number of developed programmes is growing rapidly all over the world.
There is a huge number of development methodologies, but the problem of architecture of …