Generalized Net Model for Analysis of Behavior and Efficiency of Intelligent Virtual Agents in Risky Environment

In this article, two generalized net models (GNMs) are proposed to study the behavior and effectiveness of intelligent virtual agents (IVA) working in a risky environment under different scenarios and training algorithms. The proposed GNMs allow for the selection of machine learning algorithms such...

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Bibliographic Details

Published in:	Engineering Proceedings
Main Authors:	Dilyana Budakova, Velyo Vasilev, Lyudmil Dakovski
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Subjects:	generalized network models intelligent virtual agent risky environment reinforcement learning imitation learning behavior
Online Access:	https://www.mdpi.com/2673-4591/100/1/56