SIMULOS® Complete Standards & ModulesIndex Simulation Governance Architecture — SimulationGovernance Layer This document serves as the official OOF® simulation governance architecturemap and structural index used for simulation governance design, simulationgovernance navigation, simulation governance classification, simulationdiagnostics, simulation architecture development, simulation governanceassessment, simulation lifecycle governance, and simulation interoperabilityacross AI systems, autonomous systems, robotics, digital twins, engineeringsystems, scientific models, critical infrastructure, space systems, and futuresimulation environments. SIMULOS® consists of 12 Parent Standards and 60 Core Modules. Additional standards and modules may be added when new governable simulationspaces are identified. However, the standards and modules listed below formthe core structural backbone of SIMULOS®. 1. Simulation Object Standard (SOS) Governed Space: Simulation Object Core Question: What exactly is being simulated, and how must the SimulationObject be identified, bounded, versioned, and distinguished? Modules: SOIM — Simulation Object Identification Module SOBM — Simulation Object Boundary Module SOVM — Simulation Object Versioning Module SOCM — Simulation Object Configuration Module SODM — Simulation Object Documentation Module 2. Simulation Purpose & Scope Standard(SPSS) Governed Space: Simulation Purpose & Scope Core Question: Why is the simulation being performed, what must it cover, andwhat remains outside its simulation boundary? Modules: SPM — Simulation Purpose Module SSCM — Simulation Scope Module SEXM — Simulation Exclusion Module SACM — Simulation Applicability Context Module SDPM — Simulation Depth & Precision Module 3. Reality Representation Standard (RRS) Governed Space: Simulation Reality Representation Core Question: Which aspects of reality must the simulation represent, at whatabstraction and fidelity, and which aspects may legitimately remain simplifiedor excluded? Modules: RSM — Reality Selection Module RAM — Reality Abstraction Module RFM — Representation Fidelity Module RRM — Representation Resolution Module RLM — Representation Limitation Module 4. Simulation Assumption Standard (SAS) Governed Space: Simulation Assumptions Core Question: Which assumptions enable the simulation, and how must theirbasis, dependencies, uncertainty, limitations, and consequences remaingoverned? Modules: SAIM — Simulation Assumption Identification Module SABM — Simulation Assumption Basis Module SADM — Simulation Assumption Dependency Module SAUM — Simulation Assumption Uncertainty Module SALM — Simulation Assumption Limitation Module 5. Simulation Model & Environment Standard(SMES) Governed Space: Simulation Model & Environment Core Question: How must the simulation model and simulation environment beconstructed, configured, bounded, and controlled? Modules: SMMM — Simulation Model Structure Module SECM — Simulation Environment Configuration Module SBIM — Simulation Boundary Interaction Module SPHM — Simulation Parameterization Module SEVM — Simulation Environment Versioning Module 6. Simulation Input & Data Standard (SIDS) Governed Space: Simulation Inputs & Data Core Question: Which inputs and data may enter the simulation, and under whatrepresentativeness, transformation, temporal, and uncertainty conditions? Modules: SIIM — Simulation Input Identification Module SDRM — Simulation Data Representativeness Module SDTM — Simulation Data Transformation Module STDM — Simulation Temporal Data Module SIUM — Simulation Input Uncertainty Module 7. Simulation Scenario Standard (SSS) Governed Space: Simulation Scenario Design Core Question: Which scenarios must be simulated to represent expectedconditions, variations, edge cases, stresses, uncertainty, and materiallyrelevant alternatives? Modules: SCIM — Scenario Identification Module SCVM — Scenario Variation Module SECM — Scenario Edge-Case Module SSCM — Scenario Stress-Condition Module SCCM — Scenario Coverage Module 8. Simulation Execution Standard (SES) Governed Space: Simulation Execution Core Question: How must a simulation be instantiated, executed, observed,repeated, controlled, and documented? Modules: SIM — Simulation Instantiation Module SECM — Simulation Execution Control Module SOM — Simulation Observation Module SRPM — Simulation Repetition Module SEDM — Simulation Execution Documentation Module 9. Simulation Output Governance Standard(SOGS) Governed Space: Simulation Output Governance Core Question: What exactly did the simulation produce, how must simulationoutputs be bounded and interpreted, and what may legitimately be inferred fromthem? Modules: SOIM — Simulation Output Identification Module SOCM — Simulation Output Classification Module SIM — Simulation Inference Module SOLM — Simulation Output Limitation Module SODM — Simulation Output Documentation Module 10. Simulation-to-Reality CorrelationStandard (SRCS) Governed Space: Simulation-to-Reality Correlation Core Question: To what extent do simulated behavior, conditions, and outputscorrespond to the reality they claim to represent? Modules: SRCM — Simulation-Reality Comparison Module SCCM — Simulation Correlation Criteria Module SDMM — Simulation-Reality Deviation Module SRAM — Reality Alignment Module SCUM — Correlation Uncertainty Module 11. Simulation Evidence & RelianceBoundary Standard (SERBS) Governed Space: Simulation Evidence & Reliance Boundary Core Question: What evidential meaning may simulation results legitimatelycarry, and where does simulation-specific reliance end before broadervalidation governance becomes necessary? Modules: SEQM — Simulation Evidence Qualification Module SEWM — Simulation Evidence Weight Module SRBM — Simulation Reliance Boundary Module SUM — Simulation Use Limitation Module SVIM — Simulation Validation Interface Module 12. Simulation Lifecycle & ResimulationStandard (SLRS) Governed Space: Simulation Lifecycle, Drift & Resimulation Core Question: How must simulation relevance be monitored over time, and whenmust changed reality trigger update, resimulation, replacement, or retirement? Modules: SLMM — Simulation Lifecycle Monitoring Module SDRM — Simulation Drift Recognition Module SRGM — Resimulation Trigger Module SRSM — Resimulation Scope Module SRTM — Simulation Retirement & Transition Module SIMULOS® Architecture Summary Parent Standards: 12 Core Modules: 60 Core Governed Simulation Spaces Simulation Object Simulation Purpose & Scope Simulation Reality Representation Simulation Assumptions Simulation Model & Environment Simulation Inputs & Data Simulation Scenario Design Simulation Execution Simulation Output Governance Simulation-to-Reality Correlation Simulation Evidence & Reliance Boundary Simulation Lifecycle, Drift & Resimulation SIMULOS® Navigation Layer Core Questions Map SOS → What exactly is being simulated, and how must the Simulation Object beidentified, bounded, versioned, and distinguished? SPSS → Why is the simulation being performed, what must it cover, and whatremains outside its simulation boundary? RRS → Which aspects of reality must the simulation represent, at whatabstraction and fidelity, and which aspects may legitimately remain simplifiedor excluded? SAS → Which assumptions enable the simulation, and how must their basis,dependencies, uncertainty, limitations, and consequences remain governed? SMES → How must the simulation model and simulation environment beconstructed, configured, bounded, and controlled? SIDS → Which inputs and data may enter the simulation, and under whatrepresentativeness, transformation, temporal, and uncertainty conditions? SSS → Which scenarios must be simulated to represent expected conditions,variations, edge cases, stresses, uncertainty, and materially relevantalternatives? SES → How must a simulation be instantiated, executed, observed, repeated,controlled, and documented? SOGS → What exactly did the simulation produce, how must simulation outputs bebounded and interpreted, and what may legitimately be inferred from them? SRCS → To what extent do simulated behavior, conditions, and outputscorrespond to the reality they claim to represent? SERBS → What evidential meaning may simulation results legitimately carry, andwhere does simulation-specific reliance end before broader validationgovernance becomes necessary? SLRS → How must simulation relevance be monitored over time, and when mustchanged reality trigger update, resimulation, replacement, or retirement?Architectural Position SIMULOS® governs the complete simulation governance lifecycle. The architecture progresses: Simulation Object → Simulation Purpose & Scope → Reality Representation →Simulation Assumptions → Simulation Model & Environment → Simulation Inputs &Data → Simulation Scenario Design → Simulation Execution → Simulation OutputGovernance → Simulation-to-Reality Correlation → Simulation Evidence &Reliance Boundary → Simulation Lifecycle & Resimulation Together these standards govern what is being simulated, why it is beingsimulated, how reality is represented, which assumptions enable thatrepresentation, how the model and simulation environment are constituted, whatinputs enter the simulation, which scenarios are tested, how simulationexecution occurs, what outputs are produced and interpreted, how those outputscorrespond to reality, what evidential meaning and reliance they maylegitimately support, and when changed reality requires resimulation,replacement, transition, or retirement. SIMULOS® therefore does not terminate when a simulation execution ends. Its lifecycle becomes recursive when simulation-derived results enteroperational use: Simulation → Operational Use → Reality Change → Simulation Drift →Resimulation Trigger → Resimulation Scope → Lifecycle Re-Entry → Resimulation/ Replacement / Retirement This recursive structure allows simulation governance to remain responsive tochanges in the Simulation Object, represented reality, assumptions, models,inputs, scenarios, operational conditions, correlation basis, evidenceapplicability, and intended reliance. Cross-Architecture Boundary SIMULOS® ↔ ORA™ ORA™ governs what is actually happening in OperationalReality. SIMULOS® governs how selected reality is represented and simulated. SIMULOS® ↔ VALIDOS® SIMULOS® governs what simulation and simulation-derivedevidence can legitimately represent and support. VALIDOS® governs whether thetotal validation basis sufficiently supports a Validation Determination andintended reliance. SIMULOS® ↔ INTEGROS® SIMULOS® governs simulation-specific structure andlifecycle. INTEGROS® governs integrity across objects, states, evidence, andprocesses. SIMULOS® ↔ ADIT® SIMULOS® governs simulation execution. ADIT® governsevidential observation, preservation, verification, and auditability of whatoccurred. SIMULOS® ↔ AGA™ SIMULOS® governs simulation methodology and governedsimulation conditions. AGA™ governs authority, responsibility, accountability,attribution, and decision relationships surrounding simulation activities. SIMULOS® ↔ AIG® / ASGA™ SIMULOS® may simulate AI and autonomous systems. AIG®and ASGA™ continue to govern the behavior, authority, autonomy, constraints,and operation of the actual systems. Foundational Architecture Distinctions Simulation Object ≠ Validation Object Represented Reality ≠ Operational Reality Simulation Assumption ≠ Established Fact Model Sophistication ≠ Reality Representation Sufficiency Input Volume ≠ Input Representativeness Scenario Count ≠ Scenario Coverage Simulation Execution ≠ Audit of Simulation Execution Simulation Output ≠ Simulation Evidence Simulation Similarity ≠ Reality Equivalence Simulation Evidence ≠ Validation Determination Evidence Volume ≠ Evidential Strength High Evidential Weight ≠ Unlimited Reliance Past Simulation Relevance ≠ Continuing Simulation Relevance Resimulation ≠ Failure of the Original Simulation Canonical Principle SIMULOS® does not govern Operational Reality itself, general validationsufficiency, general integrity, auditability, accountability, or the behaviorand authority of actual AI and autonomous systems. SIMULOS® governs themethodological conditions under which a Simulation Object is identified,reality is represented through simulation, assumptions and simulationconditions remain explicit, simulation activity is structured and executed,outputs acquire bounded meaning, simulation-derived evidence acquireslegitimate reliance boundaries, and material changes in reality triggergoverned resimulation, replacement, transition, or retirement throughout thecomplete simulation lifecycle.