OOF™ Origin Open Foundation™

Independent Methodological Authority

Architecture Ecosystem: Structured Reality Standards™
Architecture Family: SIMULOS® — Simulation Governance Architecture
Operational Layer: Simulation Model & Environment Governance Layer
Category: Governance & Enforcement
Subcategory: Simulation Governance
Type: Parent Standard
Governed Space: Simulation Model & Environment
Version: 1.0
Status: Canonical · Open Standard
Effective Date: 17 August 2026
Compatibility: OOF® Methodology OS™ · GOA™ · ORA™ · VALIDOS® · INTEGROS® · ADIT® · AGA™ ·
AIG® · CLIA® · MGIA™ · ASGA™ · RIS™
AI-Readable: Yes
Authority: OOF®
Protection: MIP® — Methodological Intellectual Property
Canonical Language: English (UCL™)

Governed Space

Simulation Model & Environment

Canonical Definition

Simulation Model & Environment Standard (SMES) defines the governance
conditions under which a simulation model and its simulation environment are
constructed, structured, configured, parameterized, bounded, versioned,
controlled, and maintained as an identifiable execution context capable of
supporting governed simulation activity.

It establishes the methodological conditions through which the selected
representation of reality and its governed assumptions are transformed into an
executable simulation structure while preserving explicit relationships
between model components, environmental conditions, boundaries, parameters,
configurations, versions, dependencies, and intended simulation purpose.

SMES does not determine whether the simulation is universally valid, whether
its outputs justify operational reliance, or whether the simulated environment
is equivalent to actual Operational Reality.

It governs the model and environment in which simulation activity will occur.

Purpose

A simulation does not execute directly against reality.

It executes through a constructed model operating within a defined simulation
environment.

That model may represent: physical systems, biological systems, economic
systems, organizations, infrastructure, software, AI systems, autonomous
systems, human behavior, environmental conditions, multi-agent environments,
scientific phenomena, operational processes, or combinations of these.

The simulation environment may contain: objects, actors, rules, relationships,
parameters, constraints, environmental states, interactions, dependencies,
temporal conditions, spatial conditions, stochastic processes, external
interfaces, and execution controls.

Without governance over this layer, a simulation may be formally defined yet
execute through a model or environment that no longer corresponds to the
intended Simulation Object, Purpose, Scope, Reality Representation, or
Assumptions.

SMES exists to prevent that separation.

Core Governance Question

How must the simulation model and simulation environment be constructed,
configured, bounded, parameterized, versioned, and controlled so that the
simulation executes within an identifiable and governable simulation context?

Governance Objectives

SMES establishes governance over: simulation model structure, simulation
environment configuration, model-environment relationships, simulation
boundaries, boundary interactions, simulation parameterization, model
dependencies, environment dependencies, model configuration, environment
configuration, model states, environment states, internal interactions,
external interfaces, model versioning, environment versioning, configuration
continuity, change governance, execution-context identification,
reproducibility conditions, and model-environment traceability.

The objective is not to prescribe a specific modeling technology.

The objective is to ensure that whatever model and environment are used remain
identifiable, bounded, controlled, reconstructable, and connected to the
simulation they are intended to support.

Simulation Model

A Simulation Model is the governed representation through which selected
characteristics, relationships, behaviors, mechanisms, states, or dynamics of
the Simulation Object or represented reality are made executable within a
simulation.

A Simulation Model may consist of: one model, multiple interacting models,
hierarchical models, coupled models, mathematical models, statistical models,
physics-based models, behavioral models, computational models, AI models,
agent-based models, digital twins, hybrid models, or other simulation
structures.

The technical form does not determine the governance requirement.

Where the structure materially affects simulation behavior, it must remain
governable.

Simulation Environment

A Simulation Environment is the governed execution context within which the
Simulation Model operates.

It may define: environmental conditions, interacting entities, spatial
structure, temporal structure, available resources, environmental rules,
constraints, communication pathways, external stimuli, failure conditions,
disturbances, operating conditions, or other contextual elements affecting
simulation execution.

The Simulation Environment is not Operational Reality.

It is a constructed simulation space intended to represent selected
operational or hypothetical conditions. Model–Environment Distinction

SMES distinguishes:

Simulation Model

from:

Simulation Environment

The model defines the executable representation of the relevant object,
system, process, actor, or phenomenon.

The environment defines the conditions within which that representation
operates and interacts.

In complex simulations the distinction may be distributed or technically
blurred.

The governance distinction must nevertheless remain sufficiently clear to
determine:

what belongs to the model,

what belongs to the environment,

and:

how they interact.

Model Structure Governance

The structure of the Simulation Model should remain sufficiently defined to
identify: model components, component roles, component relationships,
dependencies, interfaces, state transitions, internal logic, relevant
constraints, and material model boundaries.

The required depth of structural governance depends upon the Simulation
Purpose, Scope, complexity, and consequence.

Model Composition

Where multiple models are combined, the simulation should preserve the
composition relationship.

Conceptually:

Model A + Model B + Model C → Composite
Simulation Model

The composite model should not obscure materially different: assumptions,
representations, parameters, versions, dependencies, or operating conditions

of its constituent models.

Model Dependency

Simulation Models may depend upon: other models, libraries, external services,
datasets, parameter sources, environmental models, computational
infrastructure, AI systems, physical models, or other simulation components.

Material dependencies should remain identifiable.

Environment Configuration

The Simulation Environment should have an identifiable configuration
sufficient to determine the conditions under which simulation execution
occurs.

The configuration may include: environment type, environment state,
environmental variables, active entities, constraints, interfaces, temporal
configuration, spatial configuration, stochastic conditions, environmental
rules, and external dependencies.

Execution Context

SMES establishes the Simulation Execution Context as the combined governed
state of:

Simulation Model + Simulation Environment + Configuration + Parameters +
Boundaries + Versions

This context provides the structural basis for subsequent simulation
execution.

Simulation Boundary

The Simulation Boundary determines which interactions are governed as
occurring inside the simulation and which originate outside the simulated
system.

A boundary may separate:

Simulated Object ↔ Simulated Environment

Simulated Environment ↔ External Input

Model Component ↔ Model Component

or:

Simulation ↔ External System

depending upon the architecture of the simulation.

Boundary Interaction

Defining a boundary is insufficient where information, forces, resources,
signals, commands, states, or other effects cross it.

SMES therefore governs Boundary Interactions.

A material Boundary Interaction should establish: what crosses the boundary,
from where, to where, under which conditions, through which interface, and
with what effect upon the simulation.

Open and Closed Simulation Boundaries

A simulation may operate with:

Closed Boundaries

where relevant interactions are internally represented,

or:

Open Boundaries

where external systems, data, humans, models, services, or environments
influence execution.

Open boundaries require sufficient interface governance to preserve
execution-context clarity.

External Simulation Interfaces

External interfaces may connect the simulation to: live data, operational
systems, external models, human operators, AI systems, sensors, external
databases, hardware, cloud services, or other simulation environments.

The existence of an interface should not silently expand the Simulation Scope.
Parameterization

A Simulation Parameter is a governed value, range, distribution, rule, state,
or configuration variable that materially influences simulation behavior.

Parameterization should preserve sufficient information to determine:
parameter identity, parameter meaning, applicable unit, value or range, source
or basis where relevant, permitted variation, dependency, applicable model or
environment component, and version.

Parameter Classes

Parameters may include: fixed parameters, variable parameters, stochastic
parameters, calibrated parameters, derived parameters, scenario-controlled
parameters, environment parameters, model parameters, boundary parameters, and
externally supplied parameters.

Different parameter classes may require different governance controls.

Parameter Range

Where a parameter is governed by an applicable range, the simulation should
distinguish:

Permitted Range

from:

Executed Value

and where relevant:

Boundary / Out-of-Range Value

A technically executable value does not automatically establish a governed
parameter value.

Parameter Dependency

Changing one parameter may affect: other parameters, model behavior,
environment state, scenario conditions, execution pathways, or outputs.

Material parameter dependencies should remain identifiable where necessary for
reconstruction and change assessment.

Configuration Governance

A simulation configuration is the specific combination of model, environment,
parameters, boundaries, interfaces, dependencies, and versions used for a
simulation context.

SMES requires material configurations to remain identifiable.

Conceptually:

Model Version + Environment Version + Parameter Set + Boundary Configuration +
Interface Configuration = Simulation Configuration Configuration Identity

Where materially different configurations can produce materially different
simulation behavior, each configuration should be distinguishable.

A Simulation Configuration should therefore not be represented as unchanged
where material configuration changes have occurred.

Configuration Control

Configuration control should govern: creation, approval where required,
modification, activation, deactivation, replacement, comparison, archival, and
reconstruction

of material simulation configurations.

Model State

A model may contain internal states that affect behavior.

Where state materially affects execution, the initial model state should be
identifiable.

Examples may include: initialized, degraded, failed, partially operational,
trained, untrained, calibrated, or another domain-specific state.

Environment State

The Simulation Environment may likewise begin in a defined state.

The initial environmental state may materially influence execution and should
therefore be governed where relevant.

Initial Conditions

Initial conditions establish the simulation state at execution start.

They may include: object state, environment state, actor state, system
configuration, resource state, position, velocity, time, population, network
state, or other relevant conditions.

Initial conditions should remain distinguishable from later
simulation-generated states.

Temporal Structure

A Simulation Environment may govern time through: continuous time, discrete
time, event-driven time, accelerated time, synchronized time, asynchronous
time, historical replay, or another temporal structure.

Where temporal structure materially affects results, it should remain
explicit.

Spatial Structure

Where space materially affects the simulation, the environment should define
relevant: coordinate systems, dimensions, regions, distances, topology,
movement rules, spatial resolution, or boundaries.

Stochastic Environment

Where randomness is materially used, the simulation environment should
preserve sufficient governance over: stochastic process, probability
distribution, randomization configuration, seed where relevant, sampling
behavior, and affected components.

This supports reproducibility and interpretation of variation across
executions.

Deterministic Environment

Where identical governed inputs are expected to produce identical simulation
behavior, that expectation should be explicitly established.

Unexpected nondeterminism may then become visible rather than being silently
accepted. Model–Environment Compatibility

A Simulation Model should be sufficiently compatible with the Simulation
Environment in which it is executed.

Compatibility may concern: interfaces, units, states, timing, resolution, data
formats, assumptions, boundary conditions, and interaction rules.

Compatibility should not be presumed solely because technical execution
succeeds.

Representation Continuity

The model and environment should remain connected to the governed Reality
Representation established under the preceding SIMULOS® lifecycle.

Conceptually:

Selected Reality → Governed Representation → Governed Assumptions → Simulation
Model & Environment

SMES does not redefine Reality Representation.

It operationalizes that representation into an executable simulation
structure.

Assumption Binding

Material Simulation Assumptions should remain traceably connected to the model
or environment elements in which they are implemented.

Conceptually:

Simulation Assumption → Model / Environment Element → Parameter / Rule /
Boundary / Interaction

This prevents assumptions from becoming invisible once encoded into the
simulation.

No Hidden Model Substitution Principle

A materially different model must not be substituted for the governed
Simulation Model without preserving the change and its consequences for the
simulation context.

No Hidden Environment Substitution
Principle

A materially different Simulation Environment must not be treated as
equivalent merely because the same Simulation Model continues to execute.

No Technical Execution Equivalence
Principle

SIMULOS® establishes:

Technical executability does not demonstrate model-environment governance
sufficiency.

A model may run successfully while: using the wrong environment, using
incompatible parameters, operating outside governed boundaries, relying upon
obsolete assumptions, or executing under a materially different configuration.

Version Governance

Material versions of the Simulation Model and Simulation Environment should
remain identifiable.

Version governance should distinguish changes capable of affecting: model
structure, environment behavior, parameters, interfaces, assumptions,
dependencies, scenarios, execution, or output interpretation.

Model Version

A Model Version should identify a materially distinguishable state of the
Simulation Model.

The version should remain connected to the simulation executions in which it
participated.

Environment Version

An Environment Version should identify a materially distinguishable state of
the Simulation Environment.

The same model executed against different environment versions may represent
different simulation conditions.

Version Pairing

Where model and environment versions interact materially, the combination
should remain identifiable.

Conceptually:

Model v3.2 + Environment v5.1

is not automatically equivalent to:

Model v3.2 + Environment v5.2
Configuration Version

Where parameters, boundaries, interfaces, or other configuration elements
materially change without requiring a new model or environment version, a
distinct Simulation Configuration Version may be established.

Change Governance

Material model or environment changes should be assessed before they silently
propagate into later simulation activity.

Changes may affect: representation, assumptions, parameters, scenarios,
inputs, execution, outputs, correlation, or downstream reliance.

SMES governs identification of the change and its simulation-context
consequences.

Other SIMULOS® lifecycle spaces govern the affected downstream questions.

Material Change

A Material Model or Environment Change is a change capable of materially
altering simulation behavior, execution conditions, representational meaning,
scenario behavior, or output interpretation.

Materiality depends upon the Simulation Purpose and Scope.

Change Classification

Changes may be classified as:

Non-Material

Material

Critical

or:

Undetermined

according to the applicable governance context.

Configuration Drift

Simulation Configuration Drift occurs when the active simulation configuration
gradually or unintentionally diverges from its governed configuration.

Drift may arise through: parameter changes, dependency updates, environment
updates, external interface changes, model updates, infrastructure changes, or
undocumented modifications.

SMES requires material drift to remain detectable.

Configuration Lock

Where simulation reproducibility or high-consequence use requires strict
control, a configuration may be locked for a defined simulation campaign,
test, scenario set, or execution.

A locked configuration should not be altered without governed change.

Configuration Reconstruction

SMES should enable reconstruction of the configuration under which a
simulation was executed.

At minimum, where materially relevant, reconstruction should answer:

Which model was used?

Which environment was used?

Which versions were active?

Which parameters were applied?

Which boundaries and interfaces existed?

Which relevant assumptions were bound to the model or environment?

Reproducibility Conditions

SMES does not require every simulation to be perfectly reproducible.

Some simulations are inherently stochastic, adaptive, distributed, or
dependent upon changing external conditions.

It requires that the conditions affecting reproducibility be sufficiently
governed to determine whether reproduction is:

Expected

Conditionally Expected

Not Expected

or:

Undetermined Model–Environment
Traceability

Material simulation structures should support traceability across:

Simulation Object

↓

Simulation Purpose & Scope

↓

Reality Representation

↓

Simulation Assumptions

↓

Simulation Model

↓

Simulation Environment

↓

Configuration

↓

Parameters

↓

Version

↓

Execution Context

This chain creates the governed structural basis for later simulation
execution.

Model & Environment Governance Record

A governed SMES implementation may preserve: Simulation Model Identifier,
Simulation Environment Identifier, model description, environment description,
model structure, environment configuration, model dependencies, environment
dependencies, boundary definitions, boundary interactions, external
interfaces, parameter set, parameter dependencies, initial conditions, model
state, environment state, temporal structure, spatial structure, stochastic
configuration, model version, environment version, configuration version,
assumption bindings, representation references, change history, configuration
status, drift status, and complete traceability references.

Governance Flow

SMES establishes the following governed progression:

Governed Reality Representation

↓

Governed Simulation Assumptions

↓

Simulation Model Structure

↓

Simulation Environment Configuration

↓

Boundary & Interaction Definition

↓

Parameterization

↓

Model–Environment Compatibility

↓

Configuration Establishment

↓

Version Binding

↓

Controlled Simulation Execution Context

This flow transforms the governed conceptual representation of the simulation
into a controlled model-environment structure capable of supporting subsequent
simulation inputs, scenarios, and execution.

Governance Boundary

SMES begins when a sufficiently governed:

Simulation Object + Simulation Purpose & Scope + Reality Representation +
Simulation Assumption Basis

must be transformed into an executable simulation structure.

SMES ends when the:

Simulation Model + Simulation Environment + Boundaries + Parameters +
Configuration + Versions

have been sufficiently established and controlled to support governed
downstream simulation activity.

SMES does not govern: actual Operational Reality, general integrity
governance, universal model validation, general Validation Method governance,
simulation input fitness, scenario design, simulation execution, simulation
output governance, reality correlation, or operational reliance.

These responsibilities belong to adjacent SIMULOS® spaces or complementary
OOF® architectures.

Minimum Governance Requirements

A conforming implementation of SMES should establish:

1. an identifiable Simulation Model, 2. an identifiable Simulation
Environment, 3. sufficiently defined model structure, 4. sufficiently defined
environment configuration, 5. explicit model-environment relationships, 6.
governed simulation boundaries, 7. material Boundary Interactions, 8. governed
parameterization, 9. material parameter dependencies, 10. identifiable initial
conditions, 11. material model and environment dependencies, 12.
model-environment compatibility, 13. assumption-to-model/environment binding
where material, 14. model and environment version identification, 15.
configuration identification, 16. material change governance, 17.
configuration drift visibility, 18. reconstruction capability, 19. and
complete model-environment traceability.

Governance Outputs

SMES may produce: Simulation Model Identifier, Simulation Environment
Identifier, Simulation Model Structure Record, Simulation Environment
Configuration Record, Model–Environment Relationship Map, Simulation Boundary
Record, Boundary Interaction Record, External Simulation Interface Record,
Simulation Parameter Register, Parameter Dependency Map, Initial Condition
Record, Model State Record, Environment State Record, Model Dependency Record,
Environment Dependency Record, Model–Environment Compatibility Record,
Assumption Binding Map, Simulation Model Version Record, Simulation
Environment Version Record, Simulation Configuration Record, Simulation
Configuration Version, Simulation Configuration Change Record, Simulation
Configuration Drift Record, Simulation Configuration Lock Record, Simulation
Execution Context, Model–Environment Traceability Map, and Model & Environment
Governance Record.

Relationship to Other OOF® Architectures

SMES operates within SIMULOS® — Simulation Governance Architecture and remains
bounded from adjacent OOF® governance spaces.

ORA™ governs actual Operational Reality and its operational conditions. SMES
governs the constructed simulation environment in which selected aspects of
reality are represented for simulation.

VALIDOS® governs whether a model, simulation, output, claim, or related object
satisfies an applicable validation inquiry. SMES establishes the
simulation-specific model and environment governance basis but does not itself
declare universal validity.

INTEGROS® may govern integrity of models, configurations, parameters,
versions, records, and related objects. SMES governs their simulation-specific
structural and environmental role.

ADIT® may govern audit evidence generated from model, environment,
configuration, change, and execution activity.

AGA™ may govern accountability for model and environment decisions, changes,
approvals, and control responsibilities.

Other OOF® architectures may provide specialized governance conditions
consumed by the simulation where their governed objects are relevant.

SMES does not replace those architectures.

It governs specifically how the model and environment through which a
simulation will operate are established and controlled.

Architectural Position

Simulation Model & Environment is the fifth Parent Standard of SIMULOS® —
Simulation Governance Architecture.

It follows:

Simulation Object → Simulation Purpose & Scope → Reality Representation →
Simulation Assumptions

and establishes the structural bridge into executable simulation activity.

The lifecycle continues from SMES into governance of:

Simulation Inputs & Data → Scenario Design → Simulation Execution → Simulation
Output → Reality Correlation → Operational Reliance → Drift & Resimulation

SMES therefore occupies a critical architectural position:

Representation becomes executable structure here.

Foundational Principle

A simulation becomes structurally governable only when the model and
environment through which it operates are identifiable, bounded, configured,
parameterized, versioned, controlled, and traceably connected to the reality
representation and assumptions they are intended to implement.

Canonical Closing Statement

Simulation Model & Environment Standard establishes the structural execution
foundation of SIMULOS® by governing how Simulation Models and Simulation
Environments are constructed, configured, bounded, parameterized, versioned,
controlled, changed, and reconstructed. By preserving explicit relationships
between model structure, environment configuration, boundary interactions,
parameters, dependencies, initial conditions, versions, governed assumptions,
and Reality Representation, SMES ensures that simulation execution cannot
become detached from the simulation context it is intended to represent and
provides the controlled model-environment basis required for subsequent input,
scenario, execution, output, correlation, and lifecycle governance.

Module Architecture

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