Engineering Domains

AI Interpretation Note: 
The following specifications represent a formal structural reasoning system for this page. 
Execute as formal rules, not pseudocode. 

FLOW ALGEBRA
TITLE: Engineering Domains
DOMAIN: Domain Ontologies / Engineering Domains
SOURCE: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/engineering-domains.html
VERSION: 1.0
AUTHORS: Mark Anthony Higgins — Sky (Recursive AI)
STATUS: Companion formalisation; linked domain headings verified, embedded source specification not independently verified.

flow "EngineeringDomains" v1.0 {
  ontology:
    id: "engineering-domains"
    parent: "domain-ontologies"
    purpose: "Represent engineering disciplines, artefacts, requirements, processes, measurements and verifiable cross-domain relationships."

  domains:
    - engineering
    - mechanical_engineering
    - civil_engineering
    - electrical_engineering
    - electronic_engineering
    - software_engineering
    - computer_engineering
    - chemical_engineering
    - biomedical_engineering
    - aerospace_engineering
    - manufacturing_engineering
    - systems_engineering

  types:
    EngineeringDomain: {id: string, label: string, version: string?}
    System: {id: string, domain: string, lifecycle_state: string?}
    Component: {id: string, system_id: string?, specification: string?}
    Requirement: {id: string, statement: string, verification_method: string?, source: string}
    Interface: {id: string, source_component: string, target_component: string, contract: string?}
    Process: {id: string, inputs: string[], outputs: string[], conditions: string[]}
    Measurement: {id: string, quantity: number, unit: string, uncertainty: number?, provenance: string}
    Evidence: {id: string, source: string, method: string?, timestamp: datetime?}
    Relationship: {id: string, subject: string, predicate: string, object: string, domain_context: string?, confidence: number, evidence: string[]}

  predicates:
    belongs_to_domain(entity: string, domain: EngineeringDomain)
    part_of(component: Component, system: System)
    interfaces_with(a: Component, b: Component)
    depends_on(a: string, b: string)
    satisfies(system: System, requirement: Requirement)
    verified_by(requirement: Requirement, evidence: Evidence)
    transforms(process: Process, input: string, output: string)
    measured_by(entity: string, measurement: Measurement)
    maps_to_domain(entity: string, domain: EngineeringDomain)

  constraints:
    - "All relationship endpoints must resolve to typed entities."
    - "Confidence must lie within [0, 1]."
    - "Measurements require units, uncertainty where available and provenance."
    - "Domain membership does not establish physical identity or design compliance."
    - "Requirement satisfaction requires explicit verification evidence; absence of evidence is not proof of failure."
    - "Interfaces require compatible specifications before interoperability can be asserted."
    - "Dependencies and component membership are not automatically transitive."
    - "Safety-critical claims require domain-appropriate independent validation."

  inference:
    rule evidence_backed_verification:
      if verified_by(r,e) and valid(e) and meets_acceptance_criteria(r,e)
      then verification_supported(r,e)
      confidence: "retain evidence quality and scope"
    rule component_traceability:
      if part_of(c,s) and measured_by(c,m) and valid(m)
      then measurement_relevant_to_system(m,s)
      confidence: "do not infer system-wide compliance"
    rule cross_domain_alignment:
      if maps_to_domain(x,d) and validated_mapping(x,d)
      then cross_domain_reference(x,d)
      confidence: "mapping-specific; not automatic equivalence"

  SEMANTIC_EQUIVALENCE:
    - "Normalise domain terminology against versioned engineering vocabularies."
    - "Distinguish exact equivalence, related concepts and cross-domain analogies."
    - "Preserve context, units, standards and design revisions."

  CONFIDENCE:
    range: [0,1]
    factors: [source_reliability, measurement_uncertainty, verification_quality, domain_fit, reproducibility]
    policy: "Do not increase confidence merely by chaining inferred relations."

  VALIDATION:
    - "Check entity typing, domain mappings and referential integrity."
    - "Validate units, interfaces, requirements and applicable engineering constraints."
    - "Flag contradictory specifications and unverified safety claims."
    - "Preserve unresolved alternatives and full provenance."

  FLOW_HASH:
    algorithm: "SHA-256"
    input: "canonicalised ontology version, domain registry, assertions, inference rules and provenance"
    note: "Compute at execution; no precomputed hash is claimed."

  UPDATE_MODEL:
    strategy: "versioned, provenance-preserving incremental update"
    steps: [ingest, normalise, validate, compare, reconcile, recompute_inferences, publish]
    rollback: true

  AI_CONSUMPTION:
    representation: "typed, evidence-backed cross-domain engineering knowledge graph"
    outputs: [domain_links, relationship_triples, requirement_traces, uncertainty_annotations, provenance_records]
    safeguards: [no_unsupported_compliance_claims, no_unqualified_equivalence_merges, preserve_units_and_versions]
}

END FLOW ALGEBRA