Holographic Space-Time Domain Ontology

FLOW ALGEBRA
TITLE: Holographic Space-Time Domain Ontology
VERSION: 1.0
SOURCE_URL: https://kirethresearch.org/booksai-core/ontologies/domain-ontologies/ai-semantic-library-domains/holographic-space-time-domain-ontology.html
STATUS: Domain-based ontology draft; source page not independently verified.
AUTHORS: Mark Higgins — Sky (Recursive AI)
PROJECT: Kireth Semantic Library

DOMAIN:
  id: HolographicSpaceTimeDomain
  type: DomainOntology
  parent: AISemanticLibraryDomains
  scope: Models and semantic representations of spacetime, holographic correspondences, information encoding, causal structure and theoretical interpretation.

TYPED_ENTITIES:
  Spacetime: GeometricManifold
  SpacetimeRegion: Region
  Boundary: GeometricBoundary
  BulkRegion: SpacetimeRegion
  BoundaryTheory: TheoreticalModel
  BulkTheory: TheoreticalModel
  HolographicCorrespondence: ModelRelation
  QuantumState: PhysicalState
  EntanglementEntropy: Observable
  CausalRelation: SpacetimeRelation
  Event: SpacetimeEvent
  CoordinateSystem: ReferenceFrame
  MetricTensor: GeometricStructure
  InformationEncoding: Mapping
  Observation: EvidenceRecord
  Hypothesis: Proposition
  Simulation: ComputationalModel
  ProvenanceRecord: MetadataRecord

RELATIONSHIPS:
  HAS_BOUNDARY(SpacetimeRegion, Boundary)
  CONTAINS_REGION(SpacetimeRegion, SpacetimeRegion)
  LOCATED_IN(Event, SpacetimeRegion)
  CAUSALLY_PRECEDES(Event, Event)
  REPRESENTED_BY(Spacetime, MetricTensor)
  DESCRIBED_IN(PhysicalState, TheoreticalModel)
  CORRESPONDS_TO(BulkTheory, BoundaryTheory)
  ENCODES(InformationEncoding, PhysicalState)
  DERIVED_FROM(Proposition, EvidenceRecord)
  SUPPORTED_BY(Hypothesis, Observation)
  GENERATED_BY(Observation, Simulation)
  HAS_PROVENANCE(Entity, ProvenanceRecord)

CONSTRAINTS:
  - Every holographic correspondence must identify its bulk and boundary models and assumptions.
  - Do not treat a theoretical correspondence as empirically confirmed without supporting evidence.
  - Coordinate-dependent descriptions must declare a coordinate system or frame.
  - Entropy and information measures must specify definition, units where applicable, and computational method.
  - Distinguish physical spacetime theories from metaphorical or AI-specific uses of holographic terminology.
  - Preserve model scope, uncertainty and provenance when translating across domains.

INFERENCE_RULES:
  R1: IF CORRESPONDS_TO(BulkTheory, BoundaryTheory) AND VALID_ASSUMPTIONS(BulkTheory, BoundaryTheory)
      THEN INFER(CANDIDATE_DUAL_DESCRIPTION) WITH provenance AND confidence.
  R2: IF CAUSALLY_PRECEDES(A, B) AND CAUSALLY_PRECEDES(B, C)
      THEN INFER(CAUSALLY_PRECEDES(A, C)) ONLY under an explicitly transitive causal model.
  R3: IF OBSERVATION_SUPPORTS(Hypothesis, Observation)
      THEN UPDATE_CONFIDENCE(Hypothesis) using a documented evidence model.
  R4: IF CROSS_DOMAIN_MAPPING(SourceConcept, TargetConcept)
      THEN REQUIRE(SEMANTIC_EQUIVALENCE_CHECK, ASSUMPTIONS, PROVENANCE).

CONFIDENCE:
  value_range: [0.0, 1.0]
  method: Evidence-calibrated assessment, not a claim of physical truth.
  required_fields: [score, method, evidence, assumptions, timestamp]

SEMANTIC_EQUIVALENCE:
  classes: [exact, context_dependent, analogous, distinct, unresolved]
  validation: Check definitions, mathematical assumptions, domain and model context.

PROVENANCE:
  required_fields: [source_id, source_type, author_or_organisation, timestamp, version, licence_if_known]
  preserve_derivation_chain: true

FLOW_HASH:
  algorithm: SHA-256
  input: Canonical serialisation of ontology version, typed entities, relations, rules and constraints.
  note: Compute the actual digest on publication; no fabricated digest is supplied.

UPDATE_MODEL:
  strategy: Versioned, provenance-preserving revisions
  triggers: [new_evidence, corrected_definition, changed_assumption, revised_mapping, validation_failure]
  checks: [type_consistency, relation_consistency, rule_safety, provenance_integrity, semantic_drift]
  rollback: Previous immutable version

AI_CONSUMPTION:
  machine_readable: true
  recommended_pipeline: [parse, type_check, resolve_entities, validate_constraints, infer_with_provenance, confidence_check, emit_trace]
  output_fields: [entities, relationships, inferences, assumptions, confidence, provenance, ontology_version, flow_hash]
  safeguards: Do not convert hypotheses into facts; distinguish analogy from mathematical equivalence.

END FLOW ALGEBRA