ONEMODEL & Method
The discipline in operation.
ONEMODEL is governed agent-based modelling infrastructure that turns complex questions into traceable, executable scenarios. ONEMODEL is the complete platform name.
Agent-based modelling
Represent the participants whose actions generate change.
Agent-based modelling represents a system through the people, households, firms, governments, institutions, and other participants whose actions and interactions generate change over time.
That helps preserve heterogeneity, distributional effects, behaviour, constraints, and feedback that can disappear when every pathway is replaced by an average.
Why it matters
Heterogeneity stays visible
Different participants can face different states, choices, and constraints.
Distributional effects remain visible
Outcomes can be examined across the full distribution as well as at system level.
Mechanisms can interact
Behaviour, capacity, transactions, and rules can affect one another through time.
Consequences can emerge
Effects emerge through represented mechanisms and interactions.
What makes it different
AI assists authoring and interpretation. Deterministic models execute the scenario.
Governed data grounds the work, humans review it, and the deterministic model executes scenario change.
For a specified model state, data, assumptions, and scenario, the deterministic model follows encoded rules. Uncertainty remains explicit through assumptions, scenarios, parameters, data, and represented stochastic processes.
Inputs remain controlled and attributable.
Connected participants remain explicit in the represented system.
Encoded rules execute outside the language model.
Results can be tied back to data, assumptions, state, scenario, and execution history.
One system, one model
An ONEMODEL architecture principle.
Instead of building separate models for each topic and reconciling them afterward, ONEMODEL can represent connected people, institutions, assets, accounts, places, and events inside one accountable system architecture.
Shared definitions
Definitions and categories can remain aligned across domains.
Connected feedback
Consequences can propagate through represented relationships and feedback loops.
Explicit boundaries
Boundaries and assumptions are visible and easier to test.
Reconciled balances
Balances and flows reconcile explicitly across the represented system.
Traceable consequences
Changes can be followed across represented participants and time.
Consistent views
Different perspectives draw from the same represented system state.