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The Enhanced Morphogenetic Cycle

How do societies adapt to change? Why do some institutions reform successfully while others persist in arrangements that no longer work?

These questions sit at the heart of sociology and systems science. Margaret Archer’s Morphogenetic Approach has long provided a powerful way of analysing them by separating structure, culture, and agency and examining how their interaction over time produces stability or transformation.

A new paper introduces the Enhanced Morphogenetic Cycle (EMC), a systems-based refinement of the morphogenetic framework designed to clarify the mechanisms through which social systems reproduce or transform.

The enhanced framework introduces several key ideas:

• Three domains of constraint, material, relational, and cultural, which together define the conditions within which social interaction occurs.
• Needs, satisfiers, and contra-satisfiers, which explain how interactions provide feedback that stabilises or destabilises social processes.
• Defensive filtering and needs-driven beliefs, which help explain why individuals and institutions sometimes ignore signals that change is necessary.
• Recognition that social systems are overlapping, hierarchical, and multi-scalar, with agency operating not only at the level of individuals but also through organisations and institutions.

One of the most interesting implications of the model is that the morphogenetic cycle can also be interpreted as a learning process. Individuals, organisations, and societies all receive feedback from their interactions with the environment. When that feedback is interpreted reflexively, systems can adapt. When it is filtered or ignored, instability may accumulate.

The Enhanced Morphogenetic Cycle therefore provides a systems perspective on social adaptation, linking individual learning, organisational decision-making, and broader societal transformation.

This paper serves as the foundation for a series of studies that will explore these ideas in greater detail, including topics such as organisational learning, institutional capture, political dynamics, and social responses to environmental challenges. You can read the full paper here:

https://rational-understanding.com/sst

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47. From Intuition to Explanation

From Intuition to Explanation: How Belief Systems Form

Most of us have experienced moments when something “felt connected” before we could explain why.

A scientist senses a hidden relationship before finding the evidence.
An engineer recognises a design flaw immediately, without calculation.
A person feels that a situation makes sense long before they can articulate the reasons.

In my new paper, From Intuition to Explanation: How Belief Systems Form, I explore a simple but important idea:

Human beings detect patterns before they explain them.

The explanations we construct, whether scientific, religious, philosophical, or everyday, are shaped by the conceptual tools available to us at the time.

This perspective helps explain:

  • Why belief systems of different kinds can resemble one another
  • Why people can hold their views so strongly
  • Why communication across disciplines and cultures can be difficult
  • And how dialogue can be improved without dismissing the underlying experiences people are trying to explain

The paper draws on cognitive science, psychology, and systems thinking to propose a general model of how belief systems form and evolve.

It also has important implications for systems science itself, which historically has often sensed patterns of connectedness before fully formal tools were available to explain them.

Ultimately, the argument is simple:

The progress of knowledge is not a replacement of intuition, but a refinement of how we explain what we have long sensed.

You can read the full article here:

Intuition to Explanation Vers3Download
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Uncategorized 03c. Roles, Recognition, and Conflict in Groups

Roles, Recognition, and Conflict in Groups

Why do capable, well-intentioned teams so often fall into frustration, competition, or subtle conflict?

This article proposes a different way of understanding what is happening beneath the surface of group behaviour. It suggests that what we commonly call “roles” are not job titles or personality traits, but stabilised coping strategies that people adopt in order to manage the rising complexity of interacting within a group.

When these roles are recognised and complementary, teams work smoothly. When they are duplicated, ignored, overextended, or absent, tension and dysfunction appear, often without anyone understanding why.

The article also shows how the same pattern repeats across levels of systems: what appears as roles in teams appears as departments in organisations and as specialisations in economies and nations.

This provides not only a practical explanation for many common forms of team conflict, but a systems perspective on how cooperation can be improved within and between groups at every scale.

Read the full article here: https://rational-understanding.com/sst

Roles Recognition and Conflict in Groups Vers2Download
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03b. From Agent Networks to Organisational Architecture

From Agent Networks to Organisational Architecture

We usually think of organisations as things designed around goals, authority, or culture. But there is a deeper and more fundamental reason why they exist.

Start with a simple network of people. With two people, interaction is straightforward. Add a third, and something changes: coalitions, mediation, and exclusion become possible. Add a fourth, and the situation becomes noticeably harder to follow. People are no longer responding just to those they speak with directly, but to what others are doing with each other. The network stops feeling like a set of links and starts to feel like an interaction field.

As group size increases, the number of interaction consequences grows much faster than the number of direct relationships. Each person must track exchanges, infer intentions, anticipate outcomes, and protect their own interests. Very quickly, this becomes cognitively demanding.

So people adapt.

They focus on some interactions and ignore others. They adopt roles. They rely on heuristics. They form coalitions. They withdraw from overload. And when many people do this at once, shared rules begin to appear: agendas, turn-taking, chairs, representatives, procedures, boundaries.

At that point, the group has become something new.

It has become an organisation.

From this perspective, committees, hierarchies, and procedures are not arbitrary inventions. They are practical solutions to a problem of interaction complexity. They help people manage the cognitive load of being in large groups. At the same time, they help ensure that useful exchanges happen reliably and disruptive ones are reduced; all in pursuit of a shared purpose.

In a new article, From Agent Networks to Organisational Architecture, I explore how interaction growth, cognitive limits, coping strategies, and shared purpose together explain why organisations can naturally emerge when groups of agents become large and interconnected.

You can read the full article here:
https://rational-understanding.com/sst

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46. When Cooperation becomes Dangerous

When Cooperation becomes Dangerous

We often assume that harmful social movements succeed because people are misinformed, irrational, or “don’t know the facts.” But knowing the truth is sometimes not enough to avoid this danger. History, and current events, suggest something more unsettling.

Many people do recognise deception. Many are sceptical. And yet socially harmful dynamics still emerge, mobilise, and sometimes gain power.

In a new article, I explore this puzzle using a systems perspective rather than a political or moral one. The central idea is simple but uncomfortable: social failure is often driven not by false belief, but by misdirected coupling; i.e., strong local alignment to individuals or groups whose behaviour undermines wider social viability.

Small, tightly committed groups can dominate outcomes even when most people privately disagree. Crowd dynamics and emotional contagion can temporarily override reflexive judgement. And harmful patterns can reproduce across generations through social learning and imitation, especially among the young.

This means that fact-checking, media literacy, and moral exhortation, while important, are often insufficient. The article argues that what is increasingly needed is a different kind of education:

  • awareness of psychological and social pathologies;
  • understanding of how coupling and crowd dynamics work; and
  • motivational reflexivity: the capacity to regulate behaviour under emotional and social pressure.

This is not about ideology or politics. It is about recognising system failure modes and learning how to constrain them before they propagate.

The full article is available as a downloadable PDF here:
https://rational-understanding.com/sst

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45. From Organisms to Nations: A Systems–Evolutionary Perspective on Social Development

From Organisms to Nations: A Systems–Evolutionary Perspective on Social Development

Human societies now operate at a scale unprecedented in history, yet they struggle to coordinate effectively in the face of environmental, social, and geopolitical crises. Climate change, institutional breakdown, misinformation, and persistent inequality are often treated as separate problems, to be solved through better politics, better technology, or better ethics. This paper starts from a different premise: that many of these difficulties are not failures of intention or morality, but symptoms of an unfinished stage of social development.

Using ideas from systems theory and evolutionary biology, the paper explores the possibility that human societies are still undergoing a process of evolutionary assembly, similar in important ways to the biological evolution that produced complex organisms. Social systems, ranging from individuals and organisations to nations, exhibit recurring structural patterns, but as they grow larger they tend to become less integrated even as their power increases. Functional specialisation expands what societies can do, but integration and control often lag behind.

The paper also argues that human needs themselves emerged in a developmental sequence, existence, relatedness, then growth, and that societies tend to follow the same pattern. When social systems prioritise growth before basic needs for security, belonging, and integration are met, instability and pathology predictably follow. From this perspective, phenomena such as criminality, institutional fragility, and environmental overshoot are not anomalies, but signals of insufficient integration at larger scales. Rather than proposing political solutions or institutional blueprints, the paper offers a way of understanding where humanity may be in its social evolutionary trajectory. It identifies two key barriers to further development, informational breakdown and weak systemic commitment, and suggests that the long-term viability of human societies depends on new forms of large-scale coordination and regulation grounded in accurate information, shared understanding, and recognition of deep interdependence.

The full paper can be downloaded in pdf format at https://rational understanding.com/sst

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18, The Relationship between Symbolic Reasoning Causality and Systems

The Relationship between Symbolic Reasoning, Causality and Systems

Some time ago, I published a paper proposing that the universal disciplines of natural language, mathematics, logic, causality, and systems theory might be unified within a single formal language.

Prior to that work, I had developed an enhanced form of set theory, Symbolic Reasoning, which successfully unified natural language, logic, and mathematics. While this framework was able to account for causality and information, it did so in a way that was both complex and, to my mind, unsatisfactory. It also did not yet extend to systems theory.

More recently, over the Christmas period, I arrived at the key insight needed to incorporate systems theory into the framework. In doing so, I was also able to greatly simplify how Symbolic Reasoning represents causality, capability, and information. What had previously required elaborate constructions could now be expressed directly and transparently in systems terms.

These extensions to Symbolic Reasoning are described in a PDF available for download here:

https://rational-understanding.com/my-books#srandsystems

To fully understand the framework, readers will also need a copy of The Mathematics of Language and Thought, both volumes of which are available for download in PDF format on the same page, immediately below.

Why this matters

Much of modern thought is fragmented across disciplines that use different languages to describe the same underlying phenomena. Causality, systems, information, meaning, and mathematics are often treated as separate domains, even though they repeatedly intersect in science, engineering, and everyday reasoning. The framework presented here matters because it offers a single, coherent formal language in which these domains can be expressed together, without metaphor or hand-waving. By grounding meaning, causality, and systems in shared symbolic structures, it becomes possible to reason more clearly about complex systems (natural, social, and artificial) and to see connections that are otherwise obscured by disciplinary boundaries.

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44. Agency Causal Leverage and Social Power

Agency, Causal Leverage and Social Power

One of the most intriguing features of living and social systems is that tiny actions often have enormous effects. A neuron fires and a limb moves. A policy is announced and an institution reorganises itself. A symbolic message spreads and a social movement begins.

Why does this happen?

A growing line of work, including a recent paper I’ve written, suggests that agency operates through a mechanism we might call causal leverage. In simple terms:

information, even when coupled with very little energy, can unlock or redirect far larger flows of energy elsewhere.

This idea bridges physics, biology, cognition, and social behaviour. It explains why:

  • control systems use small signals to regulate large processes,
  • communication changes minds with minimal physical effort,
  • leaders and institutions wield influence through words more than force,
  • and why humans naturally seek positions of “power”; because it increases the amplification of their actions.

Rather than treating agency and social power as abstract concepts, this approach roots them in the physical world.
The full paper explores these ideas in more detail for those who are interested and can be downloaded in pdf format at https://rational-understanding.com/SST

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43. Information and Agency: Reconnecting Systems with Physics Uncategorized

Information and Agency: Reconnecting Systems with Physics

This article is a summary of the full paper which can be downloaded in pdf format here: https://rational-understanding.com/sst/

We often speak of “information” as though it floats freely in cyberspace or the human mind, detached from anything physical. Yet every bit of information, from the letters on this page to the thoughts in your head, is carried by matter or energy. This simple observation lies at the heart of cognitive physicalism, the view that cognition, communication, and social coordination are all thermodynamic processes.

Information Is Order

In physical terms, information is negative entropy; order among components of a system. When the atoms of a crystal, the base pairs of DNA, or the neurons of a brain are arranged in regular patterns, they hold information by reducing randomness. This definition, first clarified by Léon Brillouin and Erwin Schrödinger, gives information the same physical dimensions as entropy:

Energy provides the capacity for work (); information provides the form that directs that work. Together they make organisation possible.

How Physics Becomes Mind

In purely physical systems, energy and entropy simply flow. With life, informational structures emerge that regulate those flows. A cell maintains order by channelling chemical energy through genetic and enzymatic constraints. With evolution, feedback control grows more elaborate: nervous systems model the world, predict outcomes, and choose among options. Agency, the ability to act purposefully, appears when informational form controls energetic process.

At higher levels, the same principle produces cognition, language, and society. Neural firing, conversation, and economic exchange are all manifestations of energy flows organised by information.

Why Equations Matter

When information theory borrowed from thermodynamics, it kept Boltzmann’s equation but quietly normalised away the constant Doing so made information appear dimensionless; handy for communication engineers, but misleading for science. As Rolf Landauer later reminded us, information is physical: erasing a single bit requires energy and generates heat. Ignoring this fact masks the cost of learning, computing, and communicating; costs that become crucial when we extend systems thinking to living and social domains.

The Structure of Agency

Agency can be described in three physical layers:

LevelDescriptionDimensions
Agentic information structurepattern that directs energy
Agentic potentialinformation-structured energy capacity
Actualised agencydirected energy flow through time

Energy provides the means, information the form, and their coupling the act. Whether in a cell, a mind, or a society, the same dimensional hierarchy holds.

The Sun and the Spectrum of Agency

All terrestrial agency begins with the Sun. Photons striking chlorophyll are converted into chemical potential, which sustains metabolism, cognition, and eventually culture. Every thought, conversation, or social reform is therefore a distant echo of solar radiation; a transformation of sunlight into structured work.

The Cost of Thought and Change

Learning, decision, and communication are thermodynamic operations. Brain imaging shows energy consumption rising during problem-solving; each new memory reduces neural entropy while producing waste heat. The same principle scales up: cultural and institutional change require energy to reorganise shared information. Schools, media, and political movements are energetic engines for lowering societal entropy. When their energy supply falters, coherence and collective agency decline.

Why This Matters for Systems Science

Re-embedding information and agency in physics brings fresh clarity to systems thinking. It explains why order must be sustained by flows, why “effort” feels costly, and why every form of coordination, from metabolism to governance, depends on continual energy input. It also offers a bridge between natural and social sciences: the same thermodynamic grammar governs both.

As Ilya Prigogine showed, local order can grow even while global entropy rises. Life, mind, and society are all such dissipative structures, islands of organisation maintained by throughputs of energy and information. Understanding this continuity reminds us that progress itself carries an energetic price.

From Theory to Application

Recognising the physical nature of information could reshape how we approach education, technology, and governance. Policies and systems that ignore their energetic base risk collapse; those that respect it can harness energy more efficiently to sustain informational order.

Energy is the means, information the form, and agency the dance between them. Seen thermodynamically, every act of understanding is a small victory over entropy; a local flowering of order in the great energetic flow from the Sun.

References:
Brillouin (1956); Landauer (1961); Schrödinger (1944); Prigogine (1977); Lloyd (2006); Morowitz (1970).

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17. Extended Framework for a General Systems Theory

Introducing the Extended Framework for a General Systems Theory (EFGST)

The “Extended Framework for a General Systems Theory” (EFGST) builds upon the original “Framework for a General Systems Theory” that I first released several months ago. The original framework provided a structured, cross-disciplinary approach to understanding systems, their properties, and the causal processes that drive them.

This new Extended Framework expands this foundation with several key advances that connect systems theory more tightly to physical and informational dynamics:

  1. Seeds and Contra-Seeds describe how systems can be triggered to develop or decay through reinforcing or opposing influences.
  2. Mobus’s Concept of Systemness,  Integrated with the notion of state spaces, helps describe how systems maintain coherence, evolve, and approach attractors.
  3. Troncale’s Linkage Propositions are reinterpreted within EFGST as causal-probabilistic connections that can potentially be used to map probabilities across configuration and state spaces, providing a degree of predictability.
  4. Recomposition provides a new explanatory model for how complex systems build upon rather than replace their components, clarifying how emergence arises in distinct levels.

Together, these extensions bring the framework closer to a unified theory of system dynamics, applicable from physics and biology to social and cognitive systems.

You can read the overview paper and explore the detailed set of definitions and propositions here:

Overview Paper (Academia.edu): https://www.academia.edu/144773922/Overview_of_the_Extended_Framework_for_a_General_Systems_Theory

Overview Paper (Rational-Understanding) and Complete Definitions and Propositions List: https://rational-understanding.com/efgst/

These materials form the foundation for ongoing work towards an integrated General Systems Theory; one that connects the causal, energetic, and informational dimensions of system behaviour.