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Flame Experiments at the Advanced Light Source: New Insights into Soot Formation Processes

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User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations.

Richard A Williams¹

¹Department of Management Science, Lancaster University, Lancaster, UK.

Simulation Modelling Practice and Theory

|September 28, 2020

Summary

This summary is machine-generated.

Computational modeling is essential for understanding complex systems. The Flexible Large-scale Agent-based Modelling Environment (FLAME) is powerful for experienced users modeling social dynamics, but not for novices.

Keywords:

Agent-Based modelling Complex systems Computational social systems High-Performance computing

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Area of Science:

Complex Systems Science
Computational Social Science
Agent-Based Modeling

Background:

Complex systems (biological, physical, social) require computational modeling due to real-world experimental challenges and non-linear dynamics.
Agent-based modeling (ABM) is gaining popularity due to increased usability and sophistication of modeling frameworks.
The Flexible Large-scale Agent-based Modelling Environment (FLAME) is a recent ABM framework designed for massive, portable simulations.

Purpose of the Study:

To report experiences using FLAME to model conflict propagation in enterprise systems.
To evaluate FLAME's suitability for complex dynamical social systems.

Main Methods:

Utilized FLAME for agent-based modeling and simulation.
Modeled the development and propagation of conflict within large multi-partner enterprise systems.
Assessed the framework's capabilities and limitations for complex social system simulations.

Main Results:

FLAME is highly capable for large-scale, complex simulations.
The framework requires significant technical expertise for development and analysis.
FLAME is well-suited for experienced modelers capable of managing its instrumentation and analysis requirements.

Conclusions:

FLAME is an excellent choice for experienced agent-based modelers.
Novice modelers may benefit from more user-friendly, GUI-driven frameworks.
FLAME's power comes with a steep learning curve, necessitating programming and analysis skills.