Categories
SST

Social Destabilisation

Recurring Patterns of Constraint Misalignment

Why do organisations, communities, and societies become unstable?

Political crises, economic decline, organisational dysfunction, social fragmentation, and governance failures often appear unique. However, beneath the surface they frequently exhibit recurring patterns.

In this new paper, Social Destabilisation, I explore how instability can emerge from the misalignment of constraints within social systems. Drawing upon the Enhanced Morphogenetic Cycle (EMC) and Constraint Analysis, the paper identifies a number of recurring destabilising mechanisms, including:

• External shocks and differential rates of change
• Structural and cultural misalignment
• Complexity and constraint regulation failure
• Positive feedback and resource depletion
• Role differentiation failure and cultural fragmentation
• Power concentration and feedback distortion

Rather than treating crises as isolated events, the paper argues that many can be understood as recurring patterns of constraint misalignment.

The paper is accompanied by a series of course modules designed to make the concepts accessible to students, practitioners, and anyone interested in understanding how social systems change.

The final section introduces a practical diagnostic framework that can be used as a starting point for more detailed constraint analysis and intervention design.

Understanding instability is often the first step towards improving stability, adaptability, and long-term viability.

As always, this paper and the course modules are open access and can be read here:

Paper: https://www.academia.edu/168127594/Recurring_Patterns_of_Constraint_Misalignment

https://rational-understanding.com/sst/

Course Modules:

https://rational-understanding.com/sst-course/

Categories
EFGST

The Ontology of Randomness, Structure and Information

I’m pleased to share the publication of my latest paper:

The Ontology of Randomness, Structure and Information

This paper is the third in a series on General Systems Theory. It develops a clear, physically grounded account of how patterns arise in reality, addressing a fundamental question:

👉 Why does the world exhibit recurring structure rather than remaining a field of transient variation?

The paper introduces and systematically distinguishes four key concepts:

  • configuration — the arrangement of entities in space-time
  • randomness — non-recurring variation in configuration
  • structure — configuration with causal connectivity
  • information — recurring structure

A central claim is that recurrence requires causality, establishing structure as a necessary condition for information and grounding pattern in causally organised processes rather than in arrangement alone.

The aim, as with earlier papers, is not to add complexity, but to clarify foundational concepts and provide a consistent basis for understanding pattern and information across physical, biological, and social domains.

The paper is available via the following links:

🔗 Academia: https://www.academia.edu/166175568/The_Ontology_of_Randomness_Structure_and_Information
🔗 Website: https://rational-understanding.com/efgst

Alongside the paper, I have also added a new set of course modules to the General Systems Theory (GST) course. These modules correspond to the concepts developed in the paper and are designed to make them accessible through:

  • plain-English explanations
  • diagrams
  • practical exercises

The course materials are available in two ways:

🔗 Open access (self-paced): https://rational-understanding.com/gst-course/
🔗 Supported learning: via Google Classroom through the ISSS Student SIG

Those in full-time or part-time education are especially encouraged to join the Student SIG, where they can benefit from guidance by experienced systems scientists, discussion with fellow learners, and access to a wider international community. To join go to: https://isss.org

I hope these resources are useful to those interested in systems theory.

#SystemsScience #GeneralSystemsTheory #Complexity #Cybernetics #Information #PhilosophyOfScience #Education