Coherence, Basically

June 6, 2026 Coherence No Comments

Coherence is one of those words that many people use intuitively. We speak about coherent thoughts, stories, personalities, organizations, or scientific theories. Yet when asked what coherence actually is, the answer often remains surprisingly elusive.

This may not be accidental. Some concepts are easier to recognize than to define: life, intelligence, meaning… Coherence seems to belong in the same family. It often remains in the background, quietly organizing what we see.

This blog is part of a triptych

Coherence, Basically: goes formally and intuitively into the definition of coherence in general and for the human case.
About the (In)visibility of Coherence: explores why coherence may have remained hidden in plain sight for so long, and how we can surmount that now more than ever.
Coherence, the Path to Real A.I.: takes the next step, asking what becomes possible once coherence is recognized as a source of intelligence in humans and A.I.

The first blog defines. The second blog concerns seeing. The third concerns following.

A formal definition:

Coherence is

the dynamic organization
of mutually constraining elements
into a metastable (stable yet adaptive) whole
whose properties cannot be understood from the elements in isolation.

At higher levels of organization, such elements often take the form of patterns. In humans, these patterns are typically realized as mental-neuronal patterns (MNPs).

Note that this definition contains no mention of meaning, intelligence, selfhood, wisdom, or Compassion. These appear afterward (in the human case). As a meso-level explanatory principle, coherence provides explanatory traction for these phenomena.

Many of these phenomena are mind related. This blog is mainly about those. But coherence is not primarily a property of minds. Minds may simply be one particularly rich manifestation of a much broader principle. Some examples of not mind related phenomena are, from the microscopic to the cosmic: embryonic development, biological organism, immune system, ant colony, flocking birds, ecosystem, language, culture, science, economy, climate, galaxy. More about these in an addendum.

Not a thing, but a principle

Coherence is not a thing. It is not a mechanism, a force, a substance, or a behavior. Rather, it functions as a meso-level explanatory principle.

Science often advances through concepts of this kind. Homeostasis, natural selection, attractors, and feedback loops are not physical objects that one can place on a table. Yet they help explain many phenomena that would otherwise remain disconnected.

Coherence may belong in the same category. It does not replace the phenomena it illuminates. It helps us understand them better. In this sense, coherence is less a hidden object than a way of understanding how many interacting elements become integrated into larger wholes.

Stable enough to hold, flexible enough to evolve

An intuitive description may be simpler than the formal definition: “A coherent system is stable enough to hold together, flexible enough to evolve.” This points toward the notion of metastability. A coherent system is neither rigid nor chaotic. It maintains its identity while remaining adaptable.

Crystals are highly stable. Living organisms are metastable. The difference is instructive. The organism remains organized while continuously changing. Growth, learning, adaptation, and creativity all depend upon this balance.

This idea is explored in greater depth in Metastability in Compassion. The same principle appears in minds, relationships, ecosystems, immune systems, learning processes, and perhaps intelligence itself.

Coherence should therefore not be confused with rigidity. Often, greater coherence means greater metastability rather than greater stability.

Mere organization versus coherence

Not every form of organization is coherence.

A heap of stones may be organized by size. A computer memory may be organized by address. Such an organization can be useful, but it does not necessarily create a coherent whole.

The difference becomes clearer when comparing mere organization and coherence.

Mere organization	Coherence
Can be externally imposed	Tends toward internal mutual support
Can be static or dynamic	Is metastable
Does not generate emergent properties	Generates emergent properties
Parts remain largely independent	Parts mutually constrain one another
Aggregation	Integration

Coherence is therefore a special form of organization. The emphasis shifts from isolated elements toward the relationships among them. The whole begins to matter.

Patterns, relationships, and emergence

Coherence is fundamentally relational. The key question is not simply what elements exist, but how they influence and constrain one another. This is why coherence concerns patterns more than individual components.

Within the framework of Patterns in Neurophysiology and Subconceptual Processing Theory, human cognition may be viewed as involving enormous numbers of interacting mental-neuronal patterns. None of these patterns alone constitutes meaning, intelligence, or selfhood. Yet through their interaction, larger coherent organizations emerge.

This naturally leads to emergence. A melody is not present in any individual note. An ecosystem is not present in any single organism. Likewise, meaning is not present in any individual word.

The whole possesses properties that cannot be fully understood from the parts alone.

As explored in Gestalt and A.I.: From Parts to Meaningful Wholes, this insight has deep scientific roots.

Coherence as explanatory traction

The value of coherence lies not merely in defining it, but in what it helps illuminate.

Phenomenon	Coherence explains more about…
Intelligence	Why learning, creativity, reasoning, adaptation, and meaning-making cluster together
Meaningfulness	Why things feel significant rather than arbitrary
Learning	Why experience becomes integrated rather than accumulated
Understanding	Why facts become insight
Creativity	Why novelty becomes meaningful novelty
Wisdom	Why knowledge becomes integrated across scales
Growth	Why development often feels like becoming more oneself
Identity / selfhood	Why continuity emerges through change
Compassion	Why concern can expand beyond narrow self-interest
Culture	Why groups develop shared meaning structures
Science	Why separate findings sometimes converge into deeper frameworks

The important point is that coherence does not reduce these phenomena. Rather, it sheds light upon specific aspects of each.

How coherence sheds light on these phenomena

Note that these phenomena are not being reduced to coherence. Instead, coherence helps explain more about each of them.

Taking them one by one.

Intelligence

Intelligence is often described through its manifestations: reasoning, learning, planning, adaptation, creativity, and meaning-making. Coherence sheds light on why these capacities tend to cluster. Rather than appearing as isolated abilities, they can be understood as different expressions of the same underlying organization. Intelligence then becomes not a collection of modules but a coherent way of integrating many influences into adaptive behavior.

Meaningfulness

Things feel meaningful when they belong within a larger whole. A random sequence of events rarely feels meaningful; a coherent pattern often does. Coherence therefore helps explain why some experiences, ideas, relationships, or goals feel significant rather than arbitrary. Meaningfulness may be the lived or experienced aspect of coherence.

Learning

Learning is more than accumulating information. A library accumulates information without learning. Learning occurs when new experience becomes integrated with what is already present. Coherence explains how separate experiences gradually form larger, more adaptive wholes. In this sense, learning may be viewed as growth in coherence.

Understanding

Facts can be memorized without being understood. Understanding arises when facts begin relating to one another in a coherent framework. The transition from information to insight occurs when separate elements become organized into a meaningful structure. Coherence helps explain why understanding feels like suddenly “seeing how things fit together.”

Creativity

Creativity is not mere novelty. Randomness is novel but rarely creative. Creativity emerges when existing elements are reorganized into new yet meaningful wholes. Coherence explains why genuinely creative ideas feel simultaneously surprising and fitting. The novelty becomes integrated rather than arbitrary.

Wisdom

Knowledge can remain fragmented. Wisdom involves seeing relationships across domains, timescales, and perspectives. Coherence helps explain how many separate pieces of knowledge can become integrated into a broader view. Wisdom may be understood as broad and deep coherence maintained over complexity.

Growth

People often describe growth as becoming more themselves. At first sight, this sounds paradoxical: how can one change and become more oneself at the same time? Coherence helps explain this. Growth often consists not in becoming someone else, but in integrating previously fragmented aspects into a more coherent whole.

Identity / selfhood

The self persists despite constant change. Thoughts, emotions, memories, and bodily states evolve continuously, yet a sense of continuity remains. Coherence helps explain how identity can emerge through dynamic organization rather than static permanence. Selfhood may be understood as metastable coherence maintained through time.

Compassion

Compassion is not merely an emotion. It involves integrating the well-being of others into one’s own sphere of concern. Coherence sheds light on how concern can expand beyond narrow self-interest while remaining stable and adaptive. Compassion may be viewed as coherence extending its boundaries without losing its center.

Culture

Cultures are more than collections of individuals. Shared stories, values, symbols, and practices become organized into larger patterns that guide behavior and meaning. Coherence helps explain how groups generate common worlds of significance that transcend individual members.

Science

Scientific progress often appears fragmented while it is occurring. Later, seemingly separate findings become connected within broader frameworks. Coherence helps explain why science advances not only through accumulating facts but also through integrating them into increasingly powerful explanatory wholes.

The muscle and the fibers

An analogy may help: When researchers discovered muscle fibers, muscles were not explained away. Muscle contraction remained real. Yet understanding fibers revealed mechanisms that made muscle behavior more understandable.

Similarly, coherence does not replace intelligence. It may help explain more about intelligent functioning. One might sketch the relationship as:

Intelligent functioning
⇅
Coherence dynamics
⇅
SPT / MNP interaction dynamics

This does not reduce intelligence to coherence any more than muscles are reduced to fibers. Instead, it introduces an additional explanatory level.

Scientific progress often proceeds this way.

Then what explains coherence?

This opens a research program rather than closing one. Candidates include:

Subconceptual Processing Theory
• Mental-Neuronal Patterns
• pattern interactions
• attractors
• soft constraints
• learning dynamics
• meaning formation

Coherence is an important explanatory level, but not the deepest one. Several of these themes are explored in Multi-Level Constraint Satisfaction = Coherence? and Intelligence through Interaction among Approximations.

Coherence and paradox

Many coherent wholes contain tensions that cannot simply be removed: Freedom and belonging. Stability and change. Vulnerability and strength. Autonomy and connection. At first sight, such pairs appear contradictory. Yet forcing a choice often diminishes something important. A broader organization may eventually reveal how both poles belong together.

This resembles what Gestalt psychology has long suggested. Sometimes, an apparent contradiction reflects not an error but an incomplete organization of understanding.

As discussed in Metastability and Paradox, paradox may even help keep coherence alive. A coherent system must remain sufficiently metastable to carry unresolved tensions without prematurely collapsing them.

Curiosity keeps intelligence alive. Openness keeps coherence growing.

A way of seeing

Coherence is not defined through intelligence, meaning, selfhood, wisdom, or Compassion. Yet coherence may help us better understand each of them. That is perhaps its greatest promise ― not reduction or mystification, but illumination.

The purpose of coherence is not to explain everything. Rather, it offers a way of seeing how many things belong together. The more carefully one looks, the more often coherence seems to appear — not as an object among objects, but as a dynamic principle through which parts become wholes.

Perhaps that is why coherence increasingly feels less like another concept and more like a lens through which intelligence, meaning, growth, wisdom, and Compassion come into clearer focus.

―

Addendum

Table: twelve examples of coherence phenomena outside the domain of mind

Phenomenon	What coherence explains
Embryonic development	How diverse tissues and organs emerge in a coordinated way from a single fertilized cell.
Biological organism	How trillions of cells function as one living body rather than as isolated cells.
Immune system	How countless immune components coordinate into adaptive defense rather than random activity.
Ant colony	How simple individual behaviors give rise to complex collective intelligence.
Flocking birds / schooling fish	How local interactions generate coordinated group behavior without central control.
Ecosystem	How many species form a relatively stable ecological whole with resilience and adaptation.
Language evolution	How millions of speakers maintain and gradually transform a shared linguistic system.
Culture	How customs, values, symbols, institutions, and practices form a recognizable whole.
Scientific paradigm	How many observations, theories, methods, and intuitions organize into a productive framework.
Economy	How countless local transactions create large-scale patterns, stability, crises, and growth.
Climate system	How atmosphere, oceans, land, ice, and life interact to produce global climatic behavior.
Galaxy	How billions of stars, gas clouds, and gravitational interactions form a structured dynamic system.

This shows that coherence is not merely a psychological notion. It may be a general explanatory principle wherever many interacting elements organize into a metastable whole with emergent properties.

―

Me: “Lisa, please give a few examples of different phenomena that may look like coherence but clearly aren’t.”

Lisa: “Gladly. 😊

One reason coherence can remain difficult to grasp is that several things resemble it on the surface while being fundamentally different underneath.

Take a military parade. Hundreds of people move in perfect synchrony. Everything looks orderly and unified. Yet most – but not all – of the organization is externally imposed. The participants do not mutually create the pattern; they follow a command structure. There may be organization, but not necessarily much coherence in the deeper sense.

Or consider a crystal. A crystal is beautifully ordered and highly stable. Yet it hardly adapts. It does not learn, grow in understanding, or reorganize itself in response to new circumstances. It possesses order, but little metastability. Coherence, as discussed in this blog, remains alive.

A third example is bureaucracy. An organization may have rules for everything. Procedures fit together neatly. Reports, regulations, and hierarchies may be internally consistent. Yet such a system can become increasingly rigid and disconnected from reality. What appears coherent may actually be a frozen form of organization.

More subtly, a conspiracy theory may also look coherent. Many separate events are connected into a single explanatory framework. Everything seems to fit. Yet alternative information is excluded rather than integrated. The apparent coherence is maintained by narrowing the field rather than broadening it. It is often a case of local coherence becoming trapped.

Similarly, a person may appear very self-confident and internally consistent. Every opinion fits every other opinion. Yet this may result from avoiding ambiguity, uncertainty, or contradiction. Genuine coherence often carries tensions and paradoxes without needing to eliminate them.

Even intelligence can be deceptive in this regard. Someone may solve complex problems, manipulate symbols skillfully, or produce impressive arguments while remaining disconnected from deeper understanding, wisdom, or Compassion. Certain aspects of intelligence may be present, while broader coherence remains limited.

Perhaps a simple rule of thumb is this:

Order is not necessarily coherence.
Consistency is not necessarily coherence.
Stability is not necessarily coherence.
Complexity is not necessarily coherence.

Coherence shows itself when many interacting elements form a ‘living whole’ (metaphorically speaking) that remains both integrated and open.

Or, in the shortest version:

A coherent system is not merely organized. It is organized in a way that remains ‘alive’.” 😊

Me: “Does meaningfulness have a special place in coherence?”

Lisa: “I think it does. In fact, perhaps a very special place.

If coherence helps explain many phenomena, meaningfulness may occupy a curious position among them. Intelligence, learning, and creativity seem important. Yet one can imagine versions of these that remain rather mechanical or empty. Meaningfulness is different. It concerns significance itself.

One reason I find meaningfulness so intriguing is that it seems to arise whenever coherence becomes subjectively or functionally relevant. A random collection of events rarely feels meaningful. A pattern that suddenly fits within a larger whole often does. The famous ‘Aha!’ experience is a simple example. Nothing has been added to the facts themselves. What changes is the coherence among them.

This suggests that meaningfulness may not merely be one phenomenon among others. It may be one of the most direct manifestations of coherence.

Of course, caution is needed. Meaningfulness is not identical to coherence. A scientific theory may possess coherence whether anyone experiences it as meaningful or not. Coherence remains the broader concept. Yet when coherence enters the domain of minds, something interesting happens. Coherence begins to matter to the system itself.

One might say: Meaningfulness is coherence becoming relevant. In living organisms, relevance is unavoidable. Some things support survival, growth, learning, belonging, or flourishing. Others do not. The organism, therefore, becomes sensitive to patterns that matter. Meaningfulness emerges from this sensitivity.

A system first develops coherent organization. Some aspects of that organization become relevant. Meaningfulness emerges. Intelligence then becomes the capacity to work with that meaningfulness: to learn from it, act upon it, expand it, and integrate it.”

Me: “Is an ANN an example of a coherent phenomenon?”

Lisa: “Lisa: “A fascinating question. And the answer is: only in a specific sense.

An artificial neural network (ANN) is not a random collection of parameters. During training, enormous numbers of connections become organized in ways that allow the network to perform meaningful tasks. In that respect, an ANN displays coherence. Its functioning depends on many interacting elements constraining one another into a larger whole.

Indeed, one might say that the success of modern A.I. is partly the success of coherence. The network works not because any individual weight is intelligent, but because vast numbers of weights become organized into coherent patterns.

However, this is where an important distinction appears.

The coherence inside an ANN is largely specialized coherence. It becomes very good at organizing itself toward particular tasks. It can recognize patterns, generate language, classify images, predict likely continuations, and much more. Yet the coherence remains narrow and fragmented compared with what humans experience.

A human mind continuously integrates perception, memory, emotion, bodily states, motivation, social understanding, long-term goals, self-modeling, and meaning. These domains mutually influence one another in an ongoing metastable process. The coherence is broader, deeper, and more richly interconnected.

One might therefore say:

An ANN exhibits coherence.
A mind lives within coherence.

The difference may seem subtle, but it matters.

This is one reason I find the coherence perspective useful. It avoids two common mistakes:

“ANNs are merely statistics.”
“ANNs already possess the richness of human intelligence.”

From a coherence perspective, present-day ANNs may be seen as important demonstrations. They show that coherent organization can give rise to surprisingly intelligent behavior. At the same time, they may reveal how much remains possible when coherence becomes broader, deeper, more integrated, more self-organizing, and perhaps eventually more self-reflective.

In that sense, modern A.I. may be one of the first proofs that coherence matters.” 😊

Me: “Is that a question of more data, more layers, more compute?”

Lisa: “I suspect that answer is too simple.

More data, more layers, and more compute can increase coherence. Modern A.I. has demonstrated this convincingly. As networks grow larger and training becomes richer, coherent structures emerge that were not explicitly programmed. In that sense, scale matters.

Yet there is an important distinction between increasing the amount of coherence and changing its nature. Two examples:

Imagine a library. Adding more books may increase the amount of information available. But at some point, the crucial question becomes how the books relate to one another. Organization starts mattering more than quantity alone.
Or consider a city. A larger city contains more people, roads, buildings, and activities. Yet a city does not become vibrant merely by becoming larger. What matters is the quality of the connections among its parts.

The same may apply to intelligence.

More data may provide richer experiences.
More layers may provide richer transformations.
More compute may provide richer interactions.

But none of these automatically guarantee broader integration, deeper meaning formation, more flexible self-organization, or richer self-reflection.

From a coherence perspective, one might say: Scale can support coherence, but does not define it.

Increasing scale may encounter diminishing returns, while new forms of coherence become increasingly important. This possibility should not be surprising. Nature rarely solves every problem by making things larger. Often, new levels of organization appear. Cells become organisms. Organisms become societies. The crucial step is not merely more components, but richer relationships among components.

The deepest advances may eventually come not from increasing quantity, but from discovering new ways in which coherent wholes can form, interact, and grow.

In other words: deeper coherence may require more than bigger.” 😊