BERT Documentation
  • Getting Started
    • Get Started with BERT
    • Why BERT?
    • Creating Your First System
      • Step 1: Starting a New Project
      • Step 2: Define Your System of Interest
      • Step 3: Identify Primary Output
      • Step 4: Define Output Interface
      • Step 5: Add Customer Sink
      • Step 6: Add a Waste Output
      • Step 7: Identify Primary Inputs
      • Step 8: Traverse The Boundary
      • Step 9: Add Boundary Subsystems
      • Step 10: Adding Internal Flows
      • Step 11: System Decomposition
      • Step 11: Share JSON
      • Next Steps
      • System Elements
      • Advanced Features
      • Video Tutorial
    • Reference Guide
    • Glossary
    • Examples
      • A Home
      • A Cell
      • An LLM
  • Case Studies
    • Bitcoin
  • Analysis, Modeling and Simulation
    • Deep Systems Analysis
    • Modeling
    • Simulation
  • For Researchers
    • System Ontology
    • System Language
  • For Developers
    • Contributing
    • Architecture
  • Roadmap
    • Alpha
  • Beta
  • 1.0
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On this page
  • Deep Systems Analysis
  • What is Deep Systems Analysis?
  • Core Principles of DSA
  • The DSA Process
  • DSA Validation
  • Extending DSA
  1. Analysis, Modeling and Simulation

Deep Systems Analysis

Why Deep Systems Analysis?

Deep Systems Analysis

This page describes the Deep Systems Analysis (DSA) methodology that forms the theoretical core of BERT.

What is Deep Systems Analysis?

Deep Systems Analysis is a rigorous methodology for understanding complex systems:

  • Origins in systems science and complexity theory

  • Focus on hierarchical decomposition with maintained relationships

  • Emphasis on flows and transformations across system boundaries

  • Preservation of structure-behavior relationships

Detailed DSA foundations coming soon...

Core Principles of DSA

The foundational principles that guide Deep Systems Analysis:

  • Systems are bounded entities with defined inputs and outputs

  • Every system can be decomposed into subsystems

  • Flows must be conserved across system boundaries

  • Interfaces mediate all interactions between systems

  • Structure determines behavior at all system levels

Detailed principles explanation coming soon...

The DSA Process

The step-by-step approach to applying Deep Systems Analysis:

  1. Define the system of interest and its boundary

  2. Identify external entities and their interactions

  3. Establish system interfaces and flow patterns

  4. Decompose into subsystems while preserving flows

  5. Validate model consistency across levels

  6. Iteratively refine the model

Detailed process guide coming soon...

DSA Validation

Ensuring your system analysis maintains rigor and consistency:

  • Boundary consistency checks

  • Flow conservation validation

  • Interface alignment across levels

  • Decomposition completeness criteria

  • Semantic validation techniques

Detailed validation methods coming soon...

Extending DSA

How DSA integrates with other systems analysis approaches:

  • Complementary frameworks (DSRP, SSM, VSM)

  • Extensions for specific domains

  • Computational applications of DSA

  • DSA for complex adaptive systems

Detailed extensions coming soon...

SOI Identification

Environmental Analysis

Recursive Decomposition

Fundamentally subjective

Related Sections:

  • Core System Elements

  • System Language Foundation

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