system-dynamics-modeler

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System dynamics modeling skill for feedback loop analysis, stock-flow diagrams, and dynamic simulation

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# System Dynamics Modeler ## Overview The System Dynamics Modeler skill provides capabilities for building and analyzing system dynamics models to understand complex systems with feedback loops, delays, and non-linear behaviors. It supports causal loop diagramming, stock-flow modeling, and policy testing for strategic decision support. ## Capabilities - Stock and flow model construction - Causal loop diagram creation - Feedback loop identification - Simulation execution - Policy testing and comparison - Equilibrium analysis - Sensitivity to initial conditions - Model validation tests ## Used By Processes - Strategic Scenario Development - What-If Analysis Framework - War Gaming and Competitive Response Modeling ## Usage ### Causal Loop Diagram ```python # Define causal relationships causal_loops = { "variables": [ "Market Share", "Revenue", "R&D Investment", "Product Quality", "Customer Satisfaction", "Word of Mouth" ], "links": [ {"from": "Market Share", "to": "Revenue", "polarity": "+"}, {"from": "Revenue", "to": "R&D Investment", "polarity": "+"}, {"from": "R&D Investment", "to": "Product Quality", "polarity": "+", "delay": True}, {"from": "Product Quality", "to": "Customer Satisfaction", "polarity": "+"}, {"from": "Customer Satisfaction", "to": "Word of Mouth", "polarity": "+"}, {"from": "Word of Mouth", "to": "Market Share", "polarity": "+"} ], "loops": [ {"name": "Growth...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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