activity
20232026
collaborators

5 papers

nlin.AO2026

Complexity synchronization as a diagnostic and control principle for adaptive systems

Korosh Mahmoodi, Scott E. Kerick, Piotr J. Franaszczuk +3

Adaptive systems can exhibit similar levels of performance while relying on fundamentally different internal modes of coordination. Standard metrics such as average cooperation or…

q-bio.NC2024

Complexity synchronization analysis of neurophysiological data: Theory and methods

Ioannis Schizas, Sabrina Sullivan, Scott E. Kerick +6

We apply modified diffusion entropy analysis (MDEA) to assess multifractal dimensions of ON time series (ONTS) and complexity synchronization (CS) analysis to infer information tra…

nlin.AO2024

Complexity Control

Korosh Mahmoodi, Scott E. Kerick, Piotr J. Franaszczuk +2

We introduce a dynamic model for complexity control (CC) between systems, represented by time series characterized by different temporal complexity measures, as indicated by their…

nlin.AO2024

Cell Motility in Cancer, Crucial Events, Criticality, and Lévy Walks

Yawer H. Shah, Luigi Palatella, Korosh Mahmoodi +6

The analysis of glioblastoma (GB) cell locomotion and its modeling inspired by Levy random walks is presented herein. We study such walks occurring on a two-dimensional plane where…

nlin.AO2023

Complexity Synchronization in Emergent Intelligence

Korosh Mahmoodi1, Scott E. Kerick, Piotr J. Franaszczuk1 +3

In this work, we use a simple multi-agent-based model (MABM), implementing selfish algorithm (SA) agents, to create an adaptive environment and show, using modified diffusion entro…