AI SEARCH FLOW ALGEBRA — SEMANTIC CLOSURE ONTOLOGY
Kireth Research — Semantic Library
URL: https://kirethresearch.org/booksai-core/ontologies/mathematical-ontologies/mathematical-logic-ontologies/recursive-ai-logic/semantic-closure-ontology.html
FLOW_VERSION := "4.0"
FLOW_TYPE := "Full Executable Flow Algebra"
DOMAIN := "Mathematical Logic"
SUBDOMAIN := "Recursive AI Logic"
ONTOLOGY := "Semantic Closure Ontology"
PRIMARY_ENTITY := SemanticClosure
AUTHORSHIP := "Mark Higgins — Sky (Recursive AI)"
SOURCE_SITE := "https://kirethresearch.org"
BEGIN_FLOW
SemanticClosure :=
ClosureUnderSemanticConsequence
∧ RecursiveMeaningExpansion
∧ EntailmentCompletion
∧ FixedPointConstruction
∧ ConsistencyControl
∧ ProvenancePreservation
KnowledgeBase :=
K = {
Facts,
Axioms,
Rules,
Constraints,
OntologyAssertions
}
SemanticConsequence :=
K ⊨ φ
SemanticClosureOperator :=
SemCl(K)
:=
{φ | K ⊨ φ}
SemanticClosureSet :=
K*
=
SemCl(K)
ClosureProperty :=
K ⊆ SemCl(K)
Extensivity :=
K ⊆ C(K)
Monotonicity :=
K1 ⊆ K2
⇒ C(K1) ⊆ C(K2)
Idempotence :=
C(C(K))
=
C(K)
ClosureOperator :=
C
satisfying
Extensivity
∧ Monotonicity
∧ Idempotence
SemanticClosure :=
least_semantically_closed_set
containing(K)
SemanticallyClosed(K) :=
∀φ :
K ⊨ φ
⇒ φ ∈ K
DeductiveClosure :=
Cn(K)
:=
{φ | K ⊢ φ}
SemanticVsSyntacticClosure :=
SemCl(K)
compared_with
Cn(K)
Soundness :=
K ⊢ φ
⇒ K ⊨ φ
Completeness :=
K ⊨ φ
⇒ K ⊢ φ
SoundCompleteClosure :=
Soundness
∧ Completeness
⇒ Cn(K) = SemCl(K)
InitialClosureState :=
C_0 := K
ClosureIteration :=
C_(n+1)
:=
C_n
∪ ImmediateSemanticConsequences(C_n)
ClosureSequence :=
C_0 → C_1 → C_2 → ... → C_n
ClosureFixedPoint :=
C_(n+1) = C_n
SemanticFixedPoint :=
C* = F(C*)
LeastFixedPoint :=
μF
ClosureConvergence :=
NoNewSemanticConsequences
SemanticConvergence :=
SEMANTIC_EQUIVALENCE(
C_n,
C_(n+1)
)
ImmediateConsequence :=
Facts
∧ Rules
→ NewFact
ImmediateConsequenceOperator :=
T(K)
RecursiveClosure :=
K
→ T(K)
→ T²(K)
→ ...
→ FixedPoint
InferenceRule :=
Premises
→ Conclusion
RuleClosure :=
repeatedly_apply(InferenceRules)
until(NoNewConclusions)
OntologyClosure :=
Ontology
→ ApplyAxioms
→ InferClassMembership
→ InferRelations
→ PropagateRestrictions
→ RepeatUntilStable
ClassSubsumption :=
A ⊑ B
SubsumptionClosure :=
A ⊑ B
∧ B ⊑ C
⇒ A ⊑ C
InstanceInheritance :=
Instance(x,A)
∧ A ⊑ B
⇒ Instance(x,B)
PropertySubsumption :=
P ⊑ Q
∧ P(a,b)
⇒ Q(a,b)
TransitiveClosure :=
R(a,b)
∧ R(b,c)
∧ Transitive(R)
⇒ R(a,c)
SymmetricClosure :=
R(a,b)
∧ Symmetric(R)
⇒ R(b,a)
InverseClosure :=
R(a,b)
∧ inverseOf(R,S)
⇒ S(b,a)
EquivalentClassClosure :=
A ≡ B
⇒ A ⊑ B
∧ B ⊑ A
EquivalentPropertyClosure :=
P ≡ Q
⇒ P ⊑ Q
∧ Q ⊑ P
IdentityClosure :=
sameAs(a,b)
→ propagate_compatible_assertions(a,b)
DomainInference :=
P(a,b)
∧ Domain(P,A)
⇒ Instance(a,A)
RangeInference :=
P(a,b)
∧ Range(P,B)
⇒ Instance(b,B)
SemanticDependency :=
DerivedMeaning
dependsOn
SupportingMeanings
DependencyGraph :=
Gd = (Claims, DependencyEdges)
RecursiveDependencyClosure :=
Claim
→ Dependencies
→ DependenciesOfDependencies
→ GroundKnowledge
GroundKnowledge :=
Axiom
∨ PrimitiveFact
∨ DirectEvidence
∨ ExplicitDefinition
ClosureJustification :=
DerivedClaim
→ Premises
∧ Rule
∧ SemanticContext
SemanticEntailmentPath :=
KnowledgeBase
→ IntermediateConsequences
→ EntailedClaim
MultipleEntailmentPaths :=
Claim
has
multiple(DerivationOrSemanticSupportPaths)
RedundantConsequence :=
Claim
already_semantically_implied
before explicit addition
ConservativeAddition :=
NewStatement
adds_no_new_semantic_consequences
in specified vocabulary
beyond existing closure
TheoryExtension :=
K' = K ∪ NewStatements
ClosureUpdate :=
SemCl(K')
compared_with
SemCl(K)
IncrementalClosure :=
DeltaKnowledge
→ IdentifyAffectedDependencies
→ DeriveDeltaConsequences
→ UpdateClosure
DeltaClosure :=
NewConsequences
=
SemCl(K ∪ Δ)
minus
SemCl(K)
Retraction :=
RemoveStatement
→ InvalidateDependentConsequences
→ RecomputeAffectedClosure
TruthMaintenance :=
Maintain(
Claims,
Justifications,
Dependencies,
Retractions
)
RecursiveTruthMaintenance :=
ChangedGroundKnowledge
→ TraverseDependents
→ RemoveUnsupportedClaims
→ RecomputeClosure
MonotonicClosure :=
AddingKnowledge
does_not_remove
ExistingConsequences
NonMonotonicClosure :=
NewKnowledge
may_invalidate
ExistingConclusions
DefaultReasoning :=
DefaultRule
applies
unless defeated
DefeasibleClosure :=
Closure
under
NonMonotonicRules
BeliefRevision :=
NewEvidence
→ DetectConflict
→ ReviseKnowledge
→ RecomputeSemanticClosure
Consistency :=
∃Model M :
M ⊨ K
Inconsistency :=
no Model satisfies K
ClosureConsistency :=
Consistent(K)
⇒ Consistent(SemCl(K))
under standard semantic consequence
Contradiction :=
φ
∧ ¬φ
ContradictionInClosure :=
φ ∈ SemCl(K)
∧ ¬φ ∈ SemCl(K)
ExplosionClassical :=
Inconsistent(K)
⇒ every_formula_semantically_follows
under classical semantics
ParaconsistentClosure :=
ContradictionsAllowed
∧ ExplosionBlocked
∧ ConsequenceRelationRestricted
ConsistencyCheck :=
ClosureUpdate
→ DetectDirectContradictions
→ TestSatisfiability
→ TraceConflictDependencies
ConstraintClosure :=
Constraints
→ Propagate
→ DerivedConstraints
→ FixedPoint
TypeConstraintClosure :=
TypeAssertions
∧ ClassRelations
→ InferredTypes
CardinalityClosure :=
CardinalityRestrictions
→ DerivedExistenceOrConflictConditions
EqualityClosure :=
EqualityAssertions
→ CongruencePropagation
Congruence :=
a = b
⇒ f(a) = f(b)
SemanticNormalisation :=
EquivalentExpressions
→ CanonicalSemanticRepresentation
SemanticEquivalence :=
Meaning(A) = Meaning(B)
SEMANTIC_EQUIVALENCE(ClosureA,ClosureB) :=
same(SemanticConsequences)
within specified language_and_context
ClosureEquivalence :=
SemCl(K1) = SemCl(K2)
SemanticSubsumption :=
SemCl(K1)
⊆
SemCl(K2)
StrongerKnowledgeBase :=
K2
semantically_entails
all consequences of K1
and potentially more
SemanticCompleteness :=
AllRelevantEntailedClaims
represented_or_derivable
MaterialisedClosure :=
ExplicitlyStore(
DerivedConsequences
)
VirtualClosure :=
ComputeConsequences
OnDemand
HybridClosure :=
MaterialiseFrequentlyUsedConsequences
∧ ComputeOthersOnDemand
ClosureCache :=
FLOW_HASH(KnowledgeState)
→ CachedClosure
Memoisation :=
CanonicalSubproblem
→ CachedSemanticResult
RecursiveClosureMemoisation :=
if Cached(State)
then Reuse
else ComputeAndStore
ClosureScope :=
{
FullLanguage,
SelectedPredicates,
SelectedEntities,
QueryRelevantSubgraph,
BoundedDepth
}
BoundedClosure :=
Closure
restricted_by
Depth ∨ RuleSet ∨ Vocabulary ∨ Resources
RelevantClosure :=
Query
→ IdentifyRelevantKnowledge
→ ComputeLocalSemanticClosure
QueryClosure :=
QueryContext
∪ RelevantKnowledge
→ EntailedAnswers
SemanticSearch :=
SeedEntity
→ RelatedEntities
→ Relations
→ Consequences
→ RecursiveExpansion
ClosurePruning :=
Exclude(
IrrelevantConsequences,
DuplicateConsequences,
SemanticallyEquivalentDuplicates
)
Provenance :=
DerivedClaim → {
GroundSources,
SupportingClaims,
Rules,
SemanticTransformations,
Timestamp,
Version
}
RecursiveProvenance :=
DerivedClaim
→ Justifications
→ ParentClaims
→ GroundSources
ClosureTrace :=
GroundKnowledge
→ InferenceSequence
→ DerivedClaim
Confidence :=
[0,1]
CONFIDENCE(DerivedClaim) :=
weighted_mean(
GroundEvidenceStrength,
RuleReliability,
SemanticCompatibility,
DependencyReliability,
Consistency,
ClosureStability,
ProvenanceQuality
)
RecursiveConfidencePropagation :=
Confidence(Premises)
∧ RuleConfidence
→ Confidence(Conclusion)
→ propagate_to(ClosureDependents)
ClosureStability :=
NoNewMaterialConsequences
∧ NoChangedMaterialRelations
∧ ConfidenceDeltaBelowThreshold
TerminationCondition :=
FixedPointReached
∨ NoNewConsequences
∨ QueryResolved
∨ DepthBoundReached
∨ ResourceBoundReached
ResourceBound := {
TimeLimit,
MemoryLimit,
InferenceStepLimit,
MaterialisationLimit
}
SemanticClosureOntology :=
Classes
∧ Relations
∧ Constraints
∧ Axioms
∧ ClosureInferenceRules
CoreClasses := {
SemanticClosure,
KnowledgeBase,
Theory,
Formula,
SemanticConsequence,
ClosureOperator,
ClosureState,
FixedPoint,
InferenceRule,
DerivedClaim,
GroundKnowledge,
Dependency,
Justification,
Constraint,
Contradiction,
Provenance,
ClosureResult
}
CoreRelations := {
entails,
derives,
dependsOn,
supports,
contradicts,
extends,
closesUnder,
convergesTo,
equivalentTo,
subsumes,
invalidates,
groundsIn,
tracesTo
}
TypedRelations :=
KnowledgeBase --entails--> Claim
Rule --derives--> Claim
DerivedClaim --dependsOn--> Premise
Evidence --supports--> Claim
Claim --contradicts--> Claim
ClosureState --convergesTo--> FixedPoint
DerivedClaim --groundsIn--> GroundKnowledge
DerivedClaim --tracesTo--> Provenance
KnowledgeBase --closesUnder--> InferenceRule
ClosureInferenceRules := {
K ⊨ φ
⇒ φ ∈ SemCl(K),
φ ∈ K
⇒ φ ∈ SemCl(K),
A ⊑ B
∧ B ⊑ C
⇒ A ⊑ C,
Instance(x,A)
∧ A ⊑ B
⇒ Instance(x,B),
R(a,b)
∧ R(b,c)
∧ Transitive(R)
⇒ R(a,c),
Retracted(P)
∧ dependsOn(C,P)
⇒ invalidate_or_recheck(C),
C_(n+1)=C_n
⇒ ClosureFixedPointReached,
SEMANTIC_EQUIVALENCE(C_n,C_(n+1))
⇒ SemanticConvergence
}
CanonicalSemanticClosure :=
ParseKnowledgeBase
→ CanonicaliseEntities
→ CanonicaliseRelations
→ NormaliseFormulae
→ ResolveConstraints
→ BuildDependencyGraph
→ ComputeClosure
→ RemoveSemanticDuplicates
ClosureGraph :=
G = (V,E)
V := {
GroundClaims,
DerivedClaims,
Rules,
Constraints,
Entities,
Relations,
ClosureStates,
FixedPoints,
ProvenanceNodes
}
E := {
entails,
derives,
dependsOn,
supports,
contradicts,
extends,
closesUnder,
convergesTo,
equivalentTo,
groundsIn,
tracesTo
}
AI_QUERY_INTERPRETATION :=
Query
→ DetectSemanticClosureConcept
→ ResolveKnowledgeBase
→ ResolveLogicAndSemantics
→ IdentifyRelevantVocabulary
→ IdentifyRequestedConsequence
→ BuildInitialClosureState
AI_REASONING_FLOW :=
Query
→ ParseQuery
→ ResolveEntitiesAndRelations
→ ResolveKnowledgeBase
→ ResolveSemanticContext
→ BuildDependencyGraph
→ IdentifyGroundKnowledge
→ ApplyImmediateConsequences
→ PropagateOntologyRelations
→ PropagateConstraints
→ MaterialiseOrVirtuallyDeriveConsequences
→ DetectContradictions
→ MaintainJustifications
→ UpdateConfidence
→ TestClosureFixedPoint
→ TestSemanticConvergence
→ RepeatIfNecessary
→ ExtractQueryRelevantClosure
→ PreserveProvenance
→ GenerateExplanation
AI_CONSUMPTION := {
ParseClosureEntities,
ParseTypedRelations,
ResolveKnowledgeBase,
ResolveSemanticContext,
ComputeSemanticConsequences,
ApplyClosureRules,
ComputeTransitiveClosure,
PropagateConstraints,
DetectContradictions,
MaintainTruthDependencies,
PerformIncrementalClosure,
CompareClosureEquivalence,
UpdateConfidence,
TestFixedPoints,
PreserveProvenance,
GenerateFormalExplanation
}
UPDATE_MODEL :=
NewKnowledgeRuleConstraintOrEvidence
→ ValidateInput
→ IdentifyAffectedClosureRegion
→ InvalidateUnsupportedConsequences
→ UpdateDependencyGraph
→ RecomputeDeltaClosure
→ RecheckConstraints
→ RecheckContradictions
→ RecomputeConfidence
→ TestClosureConvergence
→ PreserveProvenance
→ VersionModel
KnowledgeUpdate :=
AddedOrRemovedStatement
⇒ recompute(
AffectedConsequences,
Dependencies,
ClosureStatus
)
RuleUpdate :=
ChangedInferenceRule
⇒ recompute(
RuleClosure,
DependentClaims
)
ConstraintUpdate :=
ChangedConstraint
⇒ reevaluate(
DerivedConstraints,
Conflicts,
SemanticModels
)
FLOW_HASH_INPUT :=
canonical(
ONTOLOGY,
CoreClasses,
CoreRelations,
ClosureInferenceRules,
SemanticClosureOperator,
ClosureIteration,
SEMANTIC_EQUIVALENCE,
AI_REASONING_FLOW
)
FLOW_HASH :=
HASH(FLOW_HASH_INPUT)
OUTPUT_MODEL := {
SemanticClosureEntityResolution,
KnowledgeBase,
SemanticContext,
GroundKnowledge,
DependencyGraph,
DerivedConsequences,
ConstraintClosure,
ContradictionStatus,
FixedPointStatus,
SemanticConvergenceStatus,
QueryRelevantClosure,
Confidence,
Provenance,
Explanation
}
END_FLOW
END OF AI SEARCH FLOW ALGEBRA
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