activity
20232025
collaborators

6 papers

q-bio.PE2025

Applied Antifragility in Natural Systems: Evolutionary Antifragility

Cristian Axenie, Roman Bauer, Oliver Lopez Corona +3

This chapter introduces evolutionary antifragility as the time-scale interaction characteristics of a natural dynamic system. It describes the benefit derived from input distributi…

q-bio.NC2024

Antifragile control systems in neuronal processing: A sensorimotor perspective

Cristian Axenie

The stability--robustness--resilience--adaptiveness continuum in neuronal processing follows a hierarchical structure that explains interactions and information processing among th…

eess.SY2024

Antifragile perimeter control: Anticipating and gaining from disruptions with reinforcement learning

Linghang Sun, Michail A. Makridis, Alexander Genser +3

The optimal operation of transportation systems is often susceptible to unexpected disruptions. Many established control strategies reliant on mathematical models can struggle with…

eess.SY2024

The fragile nature of road transportation networks

Linghang Sun, Yifan Zhang, Cristian Axenie +3

Major cities worldwide experience problems with the performance of their road transportation networks, and the continuous increase in traffic demand presents a substantial challeng…

q-bio.PE2023

Antifragility as a complex system's response to perturbations, volatility, and time

Cristian Axenie, Oliver López-Corona, Michail A. Makridis +4

Antifragility characterizes the benefit of a dynamical system derived from the variability in environmental perturbations. Antifragility carries a precise definition that quantifie…

q-bio.TO2023

Recipes for calibration and validation of agent-based models in cancer biomedicine

Nicolò Cogno, Cristian Axenie, Roman Bauer +1

Computational models and simulations are not just appealing because of their intrinsic characteristics across spatiotemporal scales, scalability, and predictive power, but also bec…