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Simulating Self-organization and Interference between Certain Hierarchical Structures.

Stanislaw Raczynski¹

¹Universidad Panamericana, Mexico City, Mexico.

Nonlinear Dynamics, Psychology, and Life Sciences

|September 9, 2014

Summary

This summary is machine-generated.

This study models organizational dynamics using self-organizing hierarchical structures. Simulations reveal that system stability is rare, with most configurations leading to oscillations due to individual member interactions.

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Area of Science:

Computational Social Science
Systems Dynamics
Organizational Behavior

Background:

Organizations exhibit complex self-organizing hierarchical structures.
Individual member attributes and interactions drive macro-level organizational patterns.
Modeling these dynamics is crucial for understanding system stability.

Purpose of the Study:

To present a discrete-event model simulating interactions between self-organizing hierarchical organizations.
To explore the influence of individual member characteristics on organizational evolution.
To visualize system dynamics and assess overall system stability.

Main Methods:

Developed a discrete-event simulation model.
Modeled active objects as individuals with parameters: ability, corruption, resources, and lust for power.
Simulated the birth-and-death process of individuals and its impact on hierarchical structures.
Generated three interacting organizations competing for members and power.

Main Results:

Organizational growth and macro-patterns emerge from individual member activities.
The disappearance of individuals triggers hierarchical structure reconfigurations.
A 'steady state' is rarely achieved; most parameter configurations result in oscillations.

Conclusions:

The model demonstrates that individual-level dynamics significantly influence organizational evolution and system stability.
Oscillations are a common outcome, suggesting inherent instability in such self-organizing systems.
The simulation provides insights into the complex interplay between individual behavior and organizational structure.