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Autopoietic ecology, explained
Autopoietic ecology (AE) asks how people and organisations become able to do something—and how their activities change what becomes possible next. It is an approach being developed by Steven Watson and Erik Brezovec.
Start with a team trying something new
Imagine a team introducing a new service. A plan matters, but so do skills, time, equipment, trust and permission to make decisions. Working together can build those conditions. It can also use up time, hide problems or place extra demands on another team.
AE looks at how the work and the arrangements that make it possible shape one another. This is an illustrative example, not a report of an EdgeLab project.
Three questions to take away
- What makes this activity possible now?
- What does doing it change for people and resources?
- What becomes possible—or harder—next?
What does AE add?
AE separates two questions that are easy to conflate: what makes an activity possible now, and whether doing it renews the capacity to act later. A service can keep delivering while depending on hidden work, depleted time or support elsewhere.
It also follows the route from an experience or objection to an authorised decision. Hearing a concern, correcting one outcome and changing the procedure used next time are different achievements. Those distinctions turn a broad account of interdependence into questions that can be investigated.
Three claims to keep distinct
- How activity becomes possible. AE proposes that an operation realises an organised capacity to act. This is a philosophical argument about constitution.
- What activity does over time. Whether a practice renews, retains or depletes the capacity for later activity is an empirical question. Completing a task does not settle it.
- Whether a system produces its own organisation. Calling a particular system autopoietic requires specifying its operations, production relations and boundary. An AI model’s participation in education does not establish that it is an autonomous autopoietic system.
These claims can be assessed separately. Our published response to Tække examines generative AI within an ecology of technical operations, human interpretation and organisational decisions; it does not infer a model’s autonomy from its complexity.
Why the unusual name?
Autopoiesis means self-production: how an organisation is produced through its own activity. Ecology draws attention to relationships and dependencies. AE’s wider use of these ideas is a theoretical proposal that needs argument and investigation.
The questions apply to learning, work, technology and public life. They can help us investigate new possibilities, recurring problems and the effects of change.
Explore the key ideas in everyday language · See examples from organisations · Try the interactive guide
Learning can create new possibilities
Imagine two learners comparing different ways to solve a mathematical problem. Explaining a method, trying a counterexample and reconsidering an assumption may change what each can understand and do. A teacher’s questions, the available representations and time for discussion help make that encounter possible.
An AE inquiry would look for evidence of a new capacity: can the learners justify a method, recognise where it fails or use it in an unfamiliar case? It would also ask whether the setting supports further inquiry. This constructed example concerns learning and invention as well as persistence and repair.
Read the fuller theory and current research
How activity becomes possible—and what allows it to continue
A lesson, an organisational decision or a relationship of trust depends on more than an isolated event. People must be able to respond, relevant distinctions must remain intelligible, and resources and relationships must support what happens next. Autopoietic ecology investigates the organisation of that activity and its dependencies.
Developed by Steven Watson and Erik Brezovec, the framework brings autopoiesis, cybernetics and social systems theory into a wider inquiry about agency, persistence, meaning and change.
Present activity and future capacity
The latest revised book distinguishes constitutive realisation from temporal maintenance. The first concerns the organised capacities and relations that make an operation possible now. The second asks what the operation does to the conditions of later activity.
Completing a task can renew a capacity, leave it unchanged or deplete it. Support may be provided elsewhere or become effective only after a delay. This distinction prevents continuity from being mistaken for evidence that an arrangement sustains everyone or everything on which it depends.
A philosophical proposal with specific empirical questions
The revised book develops the proposition that all operations are autopoietic as a philosophical generalisation about operability. This does not mean that every phenomenon meets the biological criteria for a living system, or that feedback alone establishes self-production.
Claims about particular organisations, conversations, technologies or practices need their own specification of operations, boundaries, timescales and dependencies. The current response to Tække treats an isolated generative model as non-autopoietic in the strict biological and Luhmannian senses. Technical output and communicative understanding remain distinct questions.
Rough closure
An operation can make a definite selection without containing or controlling all the conditions on which it depends. Rough closure examines the consequential incompleteness that becomes visible at interfaces, across delays and scales, or when the same event has different standing in different practices.
For example, a book can have been physically returned while remaining administratively overdue. The research question concerns the consequences of that divergence and the route through which it can be reconsidered. Roughness is not simply vagueness: a decision can be precise and still fail to account for a relevant condition.
Ecological hyperknots and formal development
Ecological hyperknots describe differently organised processes that condition one another without merging into a single operation. The current work on eigenforms, linkoids, recursive stability and co-evolving conditions develops ways of specifying those relations.
The formal programme includes The Mark in the Mesh and Toward a Mathematics of Rough Closure. Formal notation can clarify an argument; its use does not by itself establish an empirical relationship or complete a mathematical theory.
Authority, power and repair
Recent institutional work follows how an outcome becomes a reason to repeat a procedure, how compensatory labour sustains apparent success, and whether recognised difficulties can influence the next allocation. AEPE extends these questions to political economy through interface debt, translation power and repair capacity.
Repair concerns what changes, for whom and with what consequences. Recording a complaint, correcting one classification and changing a recurring procedure are different outcomes. Responsibility must also be distinguished from causal contribution: those doing the work that sustains an arrangement may have little authority to alter it.
Persistence, novelty and the value of continuation
The new discussion of autopoiesis and Andrew Pickering’s mangle of practice examines the relationship between recurring outcomes, renewal of capacities and the emergence of something new.
Persistence alone is not a moral achievement. Harmful practices can endure, and worthwhile action can interrupt them. Judgements about continuation and repair therefore require explicit commitments concerning harm, equal standing, participation and the conditions on which others depend.
Democratic participation as an ecological question
In civic education, an invitation to speak does not by itself make a person’s contribution influential. An ecological inquiry follows what makes an account understandable, credible and capable of affecting a decision. Steven’s work connected with I-CIVIC gives this question a practical educational setting.
Explore the work
The Research Programme connects these ideas to education, AI, institutions, political economy, healthcare and public space. The Publications and books page identifies the status of current texts.
Read the 2025 public book preprint · Read the hyperknots preprint
Explore the AE Concept Guide
The AE Concept Guide explains autopoiesis and operability, rough closure, ecological hyperknots, meaning mediation and semantic transduction, with examples, research citations and questions for further inquiry.
A history of AE thinking traces scholarly debates about organisation, observation, embodiment, meaning and material practice, examining how AE engages with the arguments of other thinkers.
Explore activity and the capacity to act
Open a connection to explore the example of a team learning to solve a recurring problem. These relationships can operate together; the map is not a fixed sequence.
01 · ACTIVITY
What is happening?
People bring experiences together, question an explanation and try a different approach.
See an example and questions
Look closely: who can take part, what do they do, and what counts as a useful contribution? A team’s ability to learn takes practical form through these activities.
Follow the connection: the activity depends on organised capacities. What becomes possible may also change those capacities.
02 · CONDITIONS
What makes it possible?
Time, skills, trust, records, materials and authority enable particular actions.
See an example and questions
Change a condition: protected time may allow a difficult case to be discussed. Access to the original record may reveal a mistaken assumption.
Neither change guarantees learning. Investigate how people use the opportunity and what else they depend on.
03 · POSSIBILITIES
What becomes possible?
A new skill, shared understanding or workable relationship can develop through the activity.
See an example and questions
Look for evidence: can people explain a new case, coordinate differently or question a decision they could not previously influence?
A repeated successful outcome and a new capacity are different findings. Identify what has changed and consider alternative explanations.
04 · FUTURE CONDITIONS
What happens to capacity?
The work can renew some capacities, leave others unchanged or exhaust them.
See an example and questions
Follow the effects: knowledge may be shared while time is depleted. A team may succeed because another team supplies support or absorbs extra work.
Effects may be delayed or mixed. Follow them back to the conditions of the next activity, including dependencies beyond the team.
Return to the activity: what has changed about what people can now do? Explore organisational examples.
Explore an AE connection in conversation
Use the engine alongside this map to work through a concrete example and test your interpretation.
Show an AE learning prompt
“Use an everyday example to help me understand how an activity depends on people, resources and relationships, and how doing it changes what becomes possible next. Ask me which setting to explore and explain AE concepts only where they help.”
Opens in a new tab; ChatGPT sign-in is required. This is an experimental research tool. Check its suggestions against evidence. About the engine.