BPTK In Depth

This section explains the architecture of the BPTK framework and goes into the details of how to build models using System Dynamics and agent-based modeling.

Contents:

• Agent-based Modeling With BPTK-Py
  • A Brief Introduction To Agent-based Modeling
  • An Agent-Based Version Of The Simple Project Management Model
  • Implementing The Simple Project Management Model In Python Using BPTK-Py
  • Running The Model
  • Visualising Agent States Using The AgentStatusWidget
  • Summary
• The Architecture of The BPTK Framework
  • BPTK Building Blocks
  • How The Building Blocks Work Together At Runtime
  • Summary
• A Simple Python Library For System Dynamics
  • Build System Dynamics simulations interactively in Jupyter using Python
  • Storing Models Created Using The SD DSL In A Python Class
• SD DSL Functions
  • DELAY Function
  • EXP Function
  • MAX Function
  • MIN Function
  • SMOOTH Function
  • STEP Function
  • TIME Function
  • TREND Function
• Scenarios In Depth
  • Understanding The Scenario Definition Format
  • Creating Scenarios During Runtime
  • Resetting Scenarios
  • Defining Simulation Strategies