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
  • System Language (SL) Foundation
  • The Need for a Formal Systems Language
  • SL Components and Grammar
  • Visual Representation in BERT
  • Computational Properties
  • Appendices
  • Glossary of Systems Terms
  • Theoretical Foundations
  • Comparison with Other Tools
  • Frequently Asked Questions
  • Theoretical Background
  1. For Researchers

System Language

In the next section, we'll look at how the System Language (SL) formalizes these concepts and provides a rigorous framework for system analysis.

System Language (SL) Foundation

This page explains the formal System Language that underlies BERT and provides its methodological rigor.

The Need for a Formal Systems Language

Traditional modeling languages often fall short when representing complex systems:

  • Many focus on static structure but miss dynamic relationships

  • Some capture flows but not hierarchical decomposition

  • Others lack the rigor needed for computational validation

  • Most don't address the unique properties of adaptive systems

System Language (SL) was developed to address these gaps, creating a unified approach to systems representation.

SL Components and Grammar

The fundamental building blocks of System Language:

  • System elements and their ontological foundations

  • Relationship types and their semantics

  • Hierarchical representation rules

  • Validation constraints

Detailed language specification coming soon...

Visual Representation in BERT

How BERT implements System Language visually:

  • Graphical notation standards

  • Visual grammar rules

  • Relationship representation

  • Layout conventions and meaning

Detailed visual reference coming soon...

Computational Properties

How System Language enables computational analysis:

  • Mathematical foundations

  • Computational verification

  • Simulation capabilities

  • Formal validation

Detailed computational foundations coming soon...

Appendices

This section provides supplementary materials and reference information to deepen your understanding of BERT and systems science.

Glossary of Systems Terms

Essential vocabulary for systems thinking and analysis:

  • Systems thinking terminology

  • BERT-specific terms

  • Field-specific vocabulary

  • Visual dictionary

Detailed glossary coming soon...

Theoretical Foundations

The scientific and theoretical basis of BERT:

  • Systems science background

  • Cybernetics connections

  • Complex adaptive systems theory

  • References and further reading

Detailed theoretical background coming soon...

Comparison with Other Tools

How BERT compares to other systems modeling approaches:

  • BERT vs. UML/SysML

  • BERT vs. System Dynamics tools

  • BERT vs. Enterprise Architecture tools

  • Feature comparison matrix

Detailed comparisons coming soon...

Frequently Asked Questions

Answers to common questions about BERT:

  • Common issues and solutions

  • Best practices

  • Troubleshooting guides

  • Feature clarifications

Theoretical Background

To address these gaps, he proposed the creation of a new formal "System Language" (SL) grounded in systems science principles. BERT represents a first step toward developing this formal systems language, built specifically for modern systems scientists.

Read more about the various components of SL and how they're implemented in BERT.

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Last updated 24 days ago

BERT implements ideas from work on systems science. After an interdisciplinary career spanning naval engineering, robotics, artificial intelligence, computer science, energy systems modeling, and systems science, Mobus identified key limitations in standard systems modeling frameworks like and /.

George Mobus's
Stella
UML
SysML