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Computational Social Simulation – System Dynamics and Agent-Based Modeling
System Dynamics
Agent-Based Modeling
NetLogo
Simulation Design
Socio-Economic Analysis
Vienna University of Technology • March 2024 - June 2024
Simulation Developer
Project Overview
As part of a university course, collaborated on projects leveraging System Dynamics (SD) and Agent-Based Modeling (ABM) to simulate complex socio-economic systems. The work included designing causal-loop diagrams, building stock-flow models, and implementing simulations in NetLogo.
Challenges
- •Modeling complex socio-economic systems like voting behaviors and rumor spreading
- •Creating stock-flow diagrams and causal-loop diagrams for feedback systems
- •Implementing stochastic variations in agent-level behaviors for realistic simulations
- •Analyzing emergent system behaviors to identify critical dynamics
- •Ensuring accuracy and computational efficiency in simulation models
Key Achievements
- •Developed stock-flow and causal-loop diagrams for socio-economic and ecological models
- •Implemented agent-based simulations in NetLogo, capturing dynamic behaviors like contagion and decision-making
- •Analyzed emergent system behaviors to derive actionable insights into complex systems
- •Produced detailed reports and visualizations for system dynamics and ABM scenarios
Technologies Used
System Dynamics
Agent-Based Modeling
NetLogo
Causal Loop Diagrams
Simulation Design