MuMoT

MuMoT models and analyzes multiscale collective behaviour to characterize emergent dynamics arising from nonlinear interactions.

Key Features:

• Multiscale modelling: Models collective behaviour across scales, spanning cellular systems to superorganisms.
• Reaction-kinetics representation: Represents interactions using reaction kinetics where component interactions produce state changes.
• Automated modelling: Automates model generation and analytical workflows for systems described by reaction kinetics.
• Analytical frameworks: Implements techniques from statistical physics and nonlinear dynamical systems analysis.
• Computational simulation: Performs computational simulation to explore emergent dynamics and nonlinear interactions.
• Controller design support: Supports design and analysis of component-level controllers based on reaction-kinetics models.
• Cross-disciplinary applicability: Applicable to life sciences, demography, social sciences, physical sciences, and engineering.

Scientific Applications:

• Life sciences: Analyze collective behaviour and emergent dynamics from cellular to superorganism scales.
• Demography: Model population-level interactions and emergent population dynamics.
• Social sciences: Study emergent social dynamics arising from nonlinear interactions among agents.
• Physical sciences: Model collective phenomena in physical systems using reaction-kinetics and statistical physics approaches.
• Engineering: Design and analyze component-level controllers and engineered collective systems using reaction-kinetics models.

Methodology:

Uses automated techniques from statistical physics, nonlinear dynamical systems analysis, and computational simulation to model systems described by reaction kinetics.