Evaluating a Multidisciplinary Model for Managing Human Uncertainty in 5G Cyber–Physical–Social Systems DOI Creative Commons
Néstor Alzate Mejía, Jordi Perelló, Germán Santos‐Boada

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(19), P. 8786 - 8786

Published: Sept. 29, 2024

This paper presents a comprehensive evaluation of the previously introduced multidisciplinary model to quantify human uncertainty (MMtQHU) within realistic 5G-enabled cyber–physical–social systems (CPSS) environment. The MMtQHU, which integrates human, social, and environmental factors into CPSS modeling, is applied Ingolstadt traffic scenario (InTAS), detailed urban simulation reflecting high-traffic conditions. By modeling unpredictable driver behaviors, such as deviations from optimal routes, study assesses model’s effectiveness in managing human-induced uncertainties vehicle-for-hire (VFH) applications. shows that significantly impacts 5G network resource allocation dynamics. A comparative analysis traditional methods reveals their limitations handling dynamic nature behavior. These findings underscore necessity for advanced, adaptive strategies, potentially leveraging artificial intelligence machine learning enhance resilience efficiency networks environments. offers valuable insights future advancements robust infrastructure by highlighting critical role integrating behavior models.

Language: Английский

Evolutionary dynamics in stochastic nonlinear public goods games DOI Creative Commons
Wenqiang Zhu, Xin Wang, Chaoqian Wang

et al.

Communications Physics, Journal Year: 2024, Volume and Issue: 7(1)

Published: Nov. 21, 2024

Understanding the evolution of cooperation in multi-player games is vital significance for natural and social systems. An important challenge that group interactions often lead to nonlinear synergistic effects. However, previous models mainly focus on deterministic nonlinearity, where synergy or discounting effects occur under specific conditions, not accounting uncertainty stochasticity real-world Here, we develop a probabilistic framework study cooperative behavior stochastic public goods games. Through both analytical treatment Monte Carlo simulations, provide comprehensive understanding dilemmas with nonlinearity well-mixed structured populations. We find increasing degree makes more advantageous when competing discounting, thereby promoting cooperation. Furthermore, show network reciprocity loses effectiveness probability small. Moreover, size exhibits regardless underlying structure. Our findings thus insights into how influences emergence prosocial behavior. Cooperation influenced by randomness found The authors stronger enhance boosting collective benefits working together, are rare.

Language: Английский

Citations

1
Evaluating a Multidisciplinary Model for Managing Human Uncertainty in 5G Cyber–Physical–Social Systems DOI Creative Commons
Néstor Alzate Mejía, Jordi Perelló, Germán Santos‐Boada

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(19), P. 8786 - 8786

Published: Sept. 29, 2024

This paper presents a comprehensive evaluation of the previously introduced multidisciplinary model to quantify human uncertainty (MMtQHU) within realistic 5G-enabled cyber–physical–social systems (CPSS) environment. The MMtQHU, which integrates human, social, and environmental factors into CPSS modeling, is applied Ingolstadt traffic scenario (InTAS), detailed urban simulation reflecting high-traffic conditions. By modeling unpredictable driver behaviors, such as deviations from optimal routes, study assesses model’s effectiveness in managing human-induced uncertainties vehicle-for-hire (VFH) applications. shows that significantly impacts 5G network resource allocation dynamics. A comparative analysis traditional methods reveals their limitations handling dynamic nature behavior. These findings underscore necessity for advanced, adaptive strategies, potentially leveraging artificial intelligence machine learning enhance resilience efficiency networks environments. offers valuable insights future advancements robust infrastructure by highlighting critical role integrating behavior models.

Language: Английский

Citations

0