An Agent-Directed Digital Twin Framework for Simulation-Based Training

2022 63rd International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2022): Proceedings 2022
Arnis Lektauers, Jana Bikovska, Vitālijs Boļšakovs

The paper presents an agent-directed digital twin framework for simulation-based training realising a synergy between digital twin concept, intelligent agent technologies and simulation gaming. The proposed framework provides a unifying formal basis for robust digital twin implementations with various application possibilities. In this work, the research focus is made on simulation-based training to improve business processes in an organisation. In contrast to typical applications of digital twins in manufacturing and other cyber-physical processes related to product life cycle management, the pre-sented framework highlights relatively new application area of organisational digital twins. The experimental capabilities of the agent-directed digital twin framework are illustrated by a remote work organisation training model.

Keywords
agent-directed simulation, digital twin, simulation gaming, simulation-based training
DOI
10.1109/ITMS56974.2022.9937103
Hyperlink
https://ieeexplore-ieee-org.resursi.rtu.lv/document/9937103

Lektauers, A., Bikovska, J., Boļšakovs, V. An Agent-Directed Digital Twin Framework for Simulation-Based Training. In: 2022 63rd International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS 2022): Proceedings, Latvia, Riga, 6-7 October, 2022. Piscataway: IEEE, 2022, pp.1-6. ISBN 979-8-3503-9986-8. e-ISBN 979-8-3503-9985-1. ISSN 2771-6953. e-ISSN 2771-6937. Available from: doi:10.1109/ITMS56974.2022.9937103

Publication language
English (en)