TY - GEN
T1 - Simulation of Burnout Processes by a Multi-Order Adaptive Network Model
AU - Weyland, L.
AU - Jelsma, W.
AU - Treur, J.
PY - 2021
Y1 - 2021
N2 - In this paper, an adaptive network model for the development of and recovery from burnout was designed and analysed. The current literature lacks adequate adaptive models to describe the processes involved in burnout. In this research, the informal conceptual models from Golembiewski and Leiter-Maslach model were combined with additional first-and second-order adaptive components and used to design a computational network model based on them. Four different scenarios were simulated and compared, where the importance of the therapy and the ability to learn from it was emphasised. The results show that if there was no therapy present, the emotional regulation was too poor to have an effect. However, at the moment therapy was applied, the emotional regulation would start to help against burnout. Another finding was that one long therapy session has a greater effect than several shorter sessions. Lastly, therapy only had a significant long-lasting effect when adaquate neuro-plasticity occurred.
AB - In this paper, an adaptive network model for the development of and recovery from burnout was designed and analysed. The current literature lacks adequate adaptive models to describe the processes involved in burnout. In this research, the informal conceptual models from Golembiewski and Leiter-Maslach model were combined with additional first-and second-order adaptive components and used to design a computational network model based on them. Four different scenarios were simulated and compared, where the importance of the therapy and the ability to learn from it was emphasised. The results show that if there was no therapy present, the emotional regulation was too poor to have an effect. However, at the moment therapy was applied, the emotional regulation would start to help against burnout. Another finding was that one long therapy session has a greater effect than several shorter sessions. Lastly, therapy only had a significant long-lasting effect when adaquate neuro-plasticity occurred.
UR - https://m.youtube.com/watch?v=RolMgH6JyJQ
U2 - 10.1007/978-3-030-77967-2_43
DO - 10.1007/978-3-030-77967-2_43
M3 - Conference contribution
SN - 9783030779665
VL - 3
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 514
EP - 527
BT - Computational Science – ICCS 2021
A2 - Paszynski, Maciej
A2 - Kranzlmüller, Dieter
A2 - Krzhizhanovskaya, Valeria V.
A2 - Dongarra, Jack J.
A2 - Sloot, Peter M.A.
PB - Springer Nature Switzerland AG
T2 - 21st International Conference on Computational Science, ICCS 2021
Y2 - 16 June 2021 through 18 June 2021
ER -