OOF™ Origin Open Foundation™

Independent Methodological Authority

Operational Layer: Simulation Reality Representation Governance Layer
Category: Governance & Enforcement
Subcategory: Simulation Governance
Type: Parent Standard
Governed Space: Simulation Reality Representation
Version: 1.0
Status: Canonical · Open Standard
Effective Date: 16 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 Reality Representation

Canonical Definition

Reality Representation Standard (RRS) defines the governance conditions under
which the aspects of reality relevant to a governed Simulation Object,
Purpose, Scope, Exclusions, Applicability Context, and required Simulation
Depth & Precision are selected, abstracted, represented, resolved, simplified,
bounded, and documented within a simulation.

RRS establishes the governed relationship between:

Operational Reality

and:

Simulated Representation

so that a simulation cannot silently treat an incomplete, simplified,
abstracted, or selectively represented model of reality as though it were
equivalent to reality itself.

Core Question

Which aspects of reality must the simulation represent, at what level of
abstraction, fidelity, and resolution, and which aspects may legitimately
remain simplified, approximated, or unrepresented?

Purpose

The purpose of RRS is to establish how relevant reality is transformed into a
governed simulation representation.

The preceding SIMULOS® standards establish:

What is being simulated?

and:

Why, within what scope, and at what depth must it be simulated?

RRS addresses the next foundational question:

Which parts of reality must now be represented inside the simulation, and how
must that representation remain connected to the reality it claims to stand
for?

A simulation cannot represent all aspects of reality.

Selection, abstraction, simplification, approximation, and resolution are
unavoidable.

RRS makes those transformations governable.

Operational Role

RRS is the third Parent Standard of SIMULOS® — Simulation Governance
Architecture.

It receives: a governed Simulation Object, a defined Simulation Purpose, a
governed Simulation Scope, explicit exclusions, an Applicability Context, and
required Simulation Depth & Precision.

It transforms those upstream conditions into a governed Reality Representation
Basis suitable for subsequent Simulation Assumptions, Model & Environment,
Inputs & Data, Scenario Design, and Simulation Execution.

RRS prevents: selective representation without disclosure, material reality
dimensions disappearing during modeling, abstraction being mistaken for
equivalence, simplified representation being presented as complete reality,
false fidelity, insufficient resolution, over-resolution without
methodological value, hidden representation limitations, and simulation
outputs being interpreted as though the simulated representation and
operational reality were identical.

Governance Flow

Governed Simulation Inquiry → Relevant Reality Identification → Reality
Selection → Representation Abstraction → Representation Fidelity →
Representation Resolution → Simplification & Approximation → Representation
Limitations → Reality Representation Basis

The resulting Reality Representation Basis becomes an input to:

Simulation Assumption Governance

and subsequently to governed construction of the:

Simulation Model & Environment Reality
Representation

Reality Representation is the governed transformation through which selected
characteristics, structures, behaviors, interactions, conditions,
relationships, and dynamics of reality become representable within simulation.

Representation may be: physical, mathematical, digital, statistical,
behavioral, logical, probabilistic, agent-based, process-based, hybrid,
conceptual, or another methodologically appropriate form.

RRS does not prescribe one representation technology.

It governs whether the representation is suitable for the simulation inquiry.
Reality ≠ Representation

SIMULOS® establishes a foundational distinction:

Reality ≠ Representation

A representation may reproduce selected properties of reality.

It does not become reality itself.

Therefore:

Simulation Representation must remain distinguishable from Operational Reality
throughout the simulation lifecycle. Representation ≠ Simulation Object

The Simulation Object identifies:

what is being simulated.

Reality Representation determines:

which characteristics of that object and its relevant reality are represented
inside the simulation.

A complete Simulation Object may legitimately have a partial representation
where the Simulation Purpose requires only selected characteristics.

That partiality must remain explicit.

Reality Selection

Not every characteristic of reality can or should be represented.

Reality Selection determines which reality dimensions are materially relevant
to the governed Simulation Purpose and Scope.

Selected reality may include: physical characteristics, system structures,
behaviors, environmental conditions, operational states, interactions,
dependencies, human behavior, autonomous behavior, temporal dynamics, failure
conditions, resource conditions, or other simulation-relevant realities.

Material Reality Element

A Material Reality Element is a characteristic, relationship, behavior,
condition, or dynamic whose omission or distortion could materially affect:
simulation behavior, simulation outputs, scenario response, reality
correlation, interpretation, or downstream reliance.

Material Reality Elements require explicit representation treatment.

Reality Selection Must Derive From Scope

RRS establishes:

Reality selection must follow the governed Simulation Purpose, Scope,
Exclusions, Applicability Context, and Depth requirements rather than the
convenience of the available model.

A representation tool must not silently define which parts of reality are
considered relevant.

Selective Representation

Selective representation is legitimate.

A simulation may intentionally represent only a subset of reality.

However:

Selective Representation ≠ Complete
Reality Representation

The selected subset must remain visible.

Representation Relevance

A selected reality characteristic should have a clear relationship to the
Simulation Purpose.

Representation relevance helps prevent simulation complexity from increasing
simply because more real-world detail can technically be modeled.

Reality Abstraction

Reality Abstraction is the governed reduction of real-world complexity into a
form suitable for simulation.

Abstraction may: aggregate components, simplify behavior, reduce
dimensionality, remove irrelevant detail, combine states, approximate
relationships, or represent complex phenomena through higher-level constructs.

Abstraction is not inherently a weakness.

It becomes problematic when its effect on simulation meaning is hidden.

Abstraction Level

Different elements of the same simulation may legitimately use different
abstraction levels.

For example:

Primary control behavior → detailed
representation

while:

non-material infrastructure → higher abstraction

may be appropriate.

RRS therefore permits differentiated abstraction.

Abstraction Must Preserve Material
Behavior

SIMULOS® establishes:

An abstraction must preserve the characteristics materially necessary for the
Simulation Purpose.

If abstraction removes the behavior the simulation is intended to examine, the
representation becomes methodologically insufficient.

No Abstraction Concealment Rule

A simulation must not present abstracted behavior as though every underlying
real-world mechanism had been represented.

Representation Fidelity

Representation Fidelity describes the degree to which a simulated
representation reproduces the characteristics of reality material to the
simulation inquiry.

Fidelity may concern: physical behavior, system behavior, interaction
behavior, temporal dynamics, environmental behavior, organizational behavior,
human behavior, autonomous behavior, or another simulation-relevant dimension.

Fidelity Is Purpose-Relative

There is no universally correct fidelity level.

A representation may be sufficiently faithful for:

concept exploration

while insufficient for:

high-consequence operational assessment.

Fidelity must therefore be evaluated relative to:

Purpose + Scope + Applicability + Depth
Fidelity ≠ Complexity

A more complex representation is not automatically more faithful.

Additional detail may: introduce unsupported assumptions, increase
uncertainty, create unnecessary dependencies, or obscure important behavior.

RRS establishes:

Representation complexity does not itself demonstrate Representation Fidelity.
Fidelity ≠ Precision

A representation can be highly precise while poorly representing reality.

Likewise, a lower-precision representation may adequately reproduce the
behavior material to the inquiry.

Therefore:

Precision must not be used as a proxy for fidelity.

Fidelity Differentiation

Different representation elements may require different fidelity levels.

For example:

Spacecraft Guidance Behavior → High
Fidelity

Non-Material Visual Appearance → Low
Fidelity

where visual appearance does not affect the simulation purpose.

RRS allows fidelity resources to follow materiality.

Representation Resolution

Representation Resolution defines the level at which the simulated
representation distinguishes relevant characteristics, states, entities,
events, spaces, times, and relationships.

Resolution may be: spatial, temporal, behavioral, structural,
population-based, state-based, event-based, or interaction-based.

Resolution Must Be Sufficient

Representation resolution must be fine enough to preserve simulation-relevant
differences.

For example:

If a safety event depends upon millisecond timing, a one-second temporal
representation may be insufficient.

If a regional traffic simulation concerns aggregate traffic flow,
centimeter-level road representation may be unnecessary. Resolution ≠ Depth

Simulation Depth asks how extensively the inquiry must examine the problem.

Representation Resolution asks how finely relevant reality distinctions must
be represented.

The two must remain aligned but distinct.

Resolution Sufficiency

Possible representation-resolution outcomes may include:

Sufficient

Conditionally Sufficient

Partially Sufficient

Insufficient

or:

Undetermined Reality Simplification

Simulation frequently requires simplification.

A Reality Simplification removes or reduces complexity while attempting to
preserve the characteristics necessary for the simulation inquiry.

Simplification may concern: geometry, interactions, human behavior,
environmental variation, component structure, dependencies, system dynamics,
or other dimensions.

Simplification Must Be Explicit

SIMULOS® establishes:

A material simplification must remain identifiable wherever it could affect
simulation meaning. Simplification ≠ Exclusion

A simplified element remains inside the simulation representation.

An excluded element remains outside the governed simulation inquiry.

Therefore:

Simplified ≠ Excluded

This distinction is important because an oversimplified representation and a
formal exclusion create different governance consequences.

Reality Approximation

Some real-world characteristics cannot be represented directly and require
approximation.

An approximation may use: surrogate relationships, estimated values, proxy
behavior, statistical distributions, representative profiles, or other
substitute mechanisms.

Approximation must remain explicit where material.

Proxy Representation

A representation may use a proxy for a real-world phenomenon.

For example:

Representative Human Behavior Model

may stand in for broader real human behavioral variability.

RRS requires the relationship:

Reality Target → Proxy Representation

to remain visible.

No Proxy Equivalence Rule

A proxy representation must not automatically be treated as equivalent to the
reality it represents.

Representation of Dynamic Reality

Some reality changes continuously.

Examples include: adaptive AI systems, human populations, ecosystems, markets,
autonomous systems, weather, organizational structures, and infrastructure
networks.

RRS must establish whether the representation captures: static state, state
range, dynamic transition, adaptation, evolution, or another relevant form of
change.

Static Representation of Dynamic Reality

A dynamic reality may sometimes be represented through a static approximation.

This may be legitimate for a narrowly bounded purpose.

However:

Static Representation ≠ Dynamic
Equivalence

The resulting limitation must remain visible.

Representation of Human Behavior

Human behavior may be simplified into: behavioral profiles, probabilistic
actions, bounded response models, cognitive approximations, scripted behavior,
or agent-based representations.

RRS governs whether the selected human representation corresponds sufficiently
to the simulation purpose.

It does not replace human cognition governance under CLIA®.

Representation of AI and Autonomous
Behavior

AI and autonomous systems may require representation of: perception, decision
behavior, planning, tool use, autonomy, interaction, constraints, memory
effects, adaptation, or other capabilities.

RRS governs the simulation representation of those characteristics.

AIG®, ASGA™, CLIA®, and MGIA™ govern their respective underlying operational
governance spaces.

Representation of Operational Environment

The Simulation Environment may itself represent selected operational reality.

Examples include: road conditions, industrial facilities, orbital
environments, weather, infrastructure, networks, human populations,
communication systems, or resource environments.

RRS establishes what parts of these conditions must be represented.

The later Simulation Model & Environment Standard governs how that
representation is constructed and configured.

Representation Boundary

Every Reality Representation should have a defined boundary.

The Representation Boundary identifies:

which reality dimensions are represented

and:

which reality dimensions are not represented or are represented only
indirectly. Object Boundary ≠ Representation Boundary

The Simulation Object may have a broader governed boundary than the portion
represented inside one simulation.

Therefore:

Simulation Object Boundary ≠ Reality
Representation Boundary

A mismatch is not automatically wrong.

It must be explicit and consistent with Simulation Scope.

Representation Coverage

Representation Coverage asks how much of the reality required by the governed
simulation inquiry has actually been represented.

Possible statuses may include:

Complete for Governed Scope

Substantially Complete

Partial

Materially Incomplete

or:

Undetermined

Coverage refers to required reality within the simulation scope, not all
reality.

Representation Gap

A Representation Gap exists where a reality element required by the governed
Simulation Scope is not sufficiently represented.

Examples include: missing behavior, missing dependency, missing interaction,
missing environmental condition, missing population variation, missing failure
dynamics, or missing temporal behavior.

Representation gaps must remain visible.

Representation Distortion

A Representation Distortion exists where the simulation representation
materially changes a real-world characteristic in a way capable of affecting
the simulation inquiry.

Distortion may arise from: oversimplification, poor abstraction, inappropriate
proxy behavior, excessive aggregation, inadequate temporal treatment,
incorrect scaling, or unsuitable representation relationships.

Representation Bias

A representation may systematically favor certain states, behaviors, outcomes,
or conditions.

Where such bias materially affects the simulation inquiry, it should remain
governed as a Representation Limitation.

Representation Uncertainty

A simulation representation may contain uncertainty concerning how well the
chosen representation corresponds to reality.

RRS does not require artificial certainty.

Representation uncertainty should remain explicit where material.

Representation Limitation

A Representation Limitation is a known condition under which the simulated
representation does not fully reproduce a reality element relevant to the
governed inquiry.

Limitations may result from: abstraction, simplification, unavailable data,
incomplete knowledge, model capability, computational constraints, unresolved
science, uncertain behavior, proxy use, or representational constraints.

Limitation Must Propagate

Material Representation Limitations must remain visible to downstream SIMULOS®
governance.

Conceptually:

Representation Limitation → Assumptions → Model & Environment → Scenarios →
Execution → Output Governance → Reality Correlation No Reality Equivalence
Rule

SIMULOS® establishes:

A simulation representation must never be presumed equivalent to operational
reality merely because the simulation executes successfully.

No Completeness-by-Detail Rule

High detail in represented elements does not establish that all material
reality dimensions were represented.

No Fidelity-by-Complexity Rule

Greater representation complexity does not automatically establish greater
fidelity.

No Resolution-by-Compute Rule

Greater computational scale does not automatically establish sufficient
representation resolution.

No Hidden Simplification Rule

A material simplification must not remain invisible when it affects
interpretation.

No Hidden Representation Gap Rule

A material reality element required by Simulation Scope must not disappear
from the representation without becoming: a governed Representation Gap, an
explicit exclusion, an assumption, or a returned scope question.

No Retrospective Representation
Redefinition Rule

Reality Representation must not be materially recharacterized after simulation
results are known merely to make results appear more realistic or broadly
applicable.

Representation Change

Reality Representation may change as: new information becomes available,
Simulation Scope changes, Applicability Context changes, Simulation Depth
increases, object configuration changes, new failure modes emerge, or model
capabilities improve.

Material Representation Change should remain traceable.

Representation Change Propagation

A material change to Reality Representation may affect: assumptions, model and
environment design, input requirements, scenario design, execution, outputs,
reality correlation, and lifecycle resimulation.

RRS identifies the changed representation basis and propagates its
significance downstream.

Representation Versioning

Where Reality Representation materially changes, a distinguishable
representation version may be required.

This preserves the relationship:

Simulation Object Version → Reality Representation Version → Simulation
Activity Representation Status

Possible Reality Representation statuses may include:

Established

Conditionally Established

Partially Established

Representation Limited

Representation Conflicted

Representation Incomplete

or:

Representation Undetermined

Status communicates representation-governance condition.

It does not establish validation or operational reliance.

Reality Representation Record

RRS should support a persistent governed record capable of identifying:
selected reality elements, abstraction levels, representation forms, fidelity
requirements, achieved fidelity where assessed, resolution requirements,
simplifications, approximations, proxies, representation boundaries, gaps,
distortions, uncertainties, limitations, material changes, and representation
status.

Operational Space

RRS governs: relevant reality selection, Reality Representation boundaries,
abstraction, differentiated abstraction, Representation Fidelity,
differentiated fidelity, Representation Resolution, simplification,
approximation, proxy representation, dynamic reality representation,
representation coverage, representation gaps, representation distortion,
representation uncertainty, representation limitations, representation
changes, representation versioning, and Reality Representation traceability.

Governance Boundary

RRS begins when:

a governed Simulation Object and Simulation Purpose & Scope basis exist and
the relevant reality must be translated into a form suitable for simulation.

RRS ends when:

the required reality elements have been sufficiently selected, abstracted,
bounded, assigned representation fidelity and resolution requirements,
simplified or approximated where necessary, and their material limitations
documented to support governed Simulation Assumptions and Model & Environment
construction.

Governance Scope

RRS governs only how selected reality is represented for simulation.

It does not govern: actual Operational Reality itself, Simulation Object
identity, Simulation Purpose & Scope, general assumptions, model
implementation, simulation-environment construction, input-data fitness,
scenario design, simulation execution, output interpretation, formal
validation, validation evidence sufficiency, general integrity, or operational
reliance authorization.

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

Minimum Governance Requirements

A conforming application of RRS should establish:

1. the reality elements material to the governed Simulation Purpose and Scope,
2. an explicit Reality Representation boundary, 3. the selected representation
form for material reality elements, 4. appropriate abstraction levels, 5.
required Representation Fidelity, 6. required Representation Resolution, 7.
material simplifications, 8. material approximations and proxies, 9. treatment
of dynamic reality where relevant, 10. identification of Representation Gaps,
11. identification of material distortion or uncertainty, 12. explicit
Representation Limitations, 13. prevention of reality-equivalence claims
unsupported by the representation, 14. traceability of material Representation
Changes, 15. and a persistent Reality Representation Record.

Governance Outputs

RRS may produce: Reality Selection Record, Material Reality Element Register,
Reality Representation Basis, Reality Representation Boundary, Reality
Representation Map, Representation Form Record, Abstraction Level Record,
Differentiated Abstraction Map, Representation Fidelity Requirement,
Representation Fidelity Profile, Representation Resolution Requirement,
Spatial Representation Resolution, Temporal Representation Resolution,
Behavioral Representation Resolution, Reality Simplification Record, Reality
Approximation Record, Proxy Representation Record, Dynamic Reality
Representation Record, Representation Coverage Assessment, Representation Gap
Record, Representation Distortion Record, Representation Bias Record,
Representation Uncertainty Record, Representation Limitation Record,
Representation Change Record, Representation Version Record, Reality
Representation Status, Reality Representation Traceability Map, and Reality
Representation Record.

Operational Applications

Reality Representation Standard may be applied across: artificial
intelligence, autonomous systems, robotics, digital twins, aerospace,
aviation, space missions, autonomous vehicles, industrial systems,
manufacturing, infrastructure, healthcare simulation, scientific modeling,
environmental modeling, financial simulation, population simulation,
behavioral simulation, organizational simulation, mission planning,
system-of-systems simulation, training environments, critical infrastructure,
and future operational ecosystems.

Relationship to Other OOF® Architectures

Reality Representation Standard interoperates with: GOA™ ORA™ VALIDOS®
INTEGROS® ADIT® AGA™ AIG® CLIA® MGIA™ ASGA™ RIS™

while preserving a strict architectural boundary.

ORA™ governs Operational Reality itself.

RRS governs:

how selected Operational Reality is represented within simulation.

This distinction is fundamental:

ORA™: What is actually occurring?

RRS: How is the relevant reality represented for simulation?

VALIDOS® may subsequently determine whether a simulation, simulation-derived
claim, or simulation evidence is sufficiently validated for a defined purpose.

RRS does not make that Validation Determination.

INTEGROS® may govern the integrity of representation records, data, models,
and related objects.

RRS governs their simulation-specific representational role.

ADIT® may preserve evidence demonstrating how a representation was
constructed, changed, or executed.

AIG®, CLIA®, MGIA™, and ASGA™ may define domain-specific characteristics that
a simulation representation must reflect when AI, cognition, memory, or
autonomous behavior is being simulated.

RRS consumes those characteristics without replacing their governance
architectures.

Architectural Position

Reality Representation Standard (RRS) is the third Parent Standard of SIMULOS®
— Simulation Governance Architecture.

The architectural progression is:

Simulation Object

↓

Simulation Purpose & Scope

↓

Reality Representation

SOS establishes:

What exactly is being simulated?

SPSS establishes:

Why is it being simulated, what must it cover, and within which contextual and
depth boundaries?

RRS establishes:

Which parts of reality must be represented and how must that representation
remain bounded by abstraction, fidelity, resolution, simplification,
approximation, and known limitations?

Once the Reality Representation Basis has been established, SIMULOS® can
proceed to the next architectural question:

Which assumptions are required to make that representation and the resulting
simulation possible, and what limitations do those assumptions introduce?

This transition leads directly into:

Simulation Assumption Governance

Foundational Principle

A simulation can legitimately represent reality only to the extent that the
reality elements material to its purpose are explicitly selected,
appropriately abstracted, sufficiently represented, and bounded by their known
representational limitations.

Canonical Closing Statement

Reality Representation Standard (RRS) establishes the representational bridge
between Operational Reality and governed simulation by defining which aspects
of reality must be selected, abstracted, simplified, approximated, resolved,
and represented for the intended Simulation Purpose and Scope. Through
governance of Reality Selection, abstraction, fidelity, resolution, dynamic
representation, proxies, coverage, gaps, distortion, uncertainty, limitations,
change, and traceability, RRS prevents simulation representations from being
mistaken for reality merely because they are technically detailed or
successfully executed. By making the transformation from reality to
representation explicit and governable, RRS establishes one of the central
methodological foundations of SIMULOS® and provides the reality basis upon
which assumptions, models, environments, inputs, scenarios, execution,
outputs, and later simulation-to-reality correlation can legitimately be
constructed.

Module Architecture

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