FLOW_ALGEBRA NonMonotonicReasoningOntology v1.0
TARGET_URL := "https://kirethresearch.org/booksai-core/ontologies/mathematical-ontologies/mathematical-logic-ontologies/logical-reasoning/non-monotonic-reasoning-ontology.html"
LANGUAGE := "en-GB"
DOMAIN := MathematicalOntologies > MathematicalLogicOntologies > LogicalReasoning > NonMonotonicReasoningOntology
BEGIN_FLOW
ENTITY NonMonotonicReasoning {
TYPE := DefeasibleReasoningFramework
DEFINITION := "Reasoning in which conclusions may be withdrawn when new information is added, supporting defaults, exceptions, priorities and changing knowledge."
}
ENTITY DefeasibleConclusion { TYPE := RetractableConclusion }
ENTITY DefaultRule { TYPE := NonMonotonicInferenceRule }
ENTITY Exception { TYPE := DefeaterOrBlockingCondition }
RELATIONSHIP NonMonotonicReasoning --produces--> DefeasibleConclusion
RELATIONSHIP NonMonotonicReasoning --uses--> DefaultRule
RELATIONSHIP Exception --defeats--> DefaultRule
RELATIONSHIP NonMonotonicReasoning --supports--> BeliefRevision
RELATIONSHIP NonMonotonicReasoning --supports--> CommonsenseReasoning
MONOTONICITY {
Gamma subseteq Delta
implies Cn(Gamma) subseteq Cn(Delta)
}
NON_MONOTONICITY {
EXISTS Gamma subseteq Delta, phi:
phi in Cn(Gamma)
AND phi not_in Cn(Delta)
}
CORE_PATTERN {
GIVEN knowledge K
DERIVE tentative C
RECEIVE new_information E
IF E defeats support_for C:
RETRACT C
ELSE RETAIN C
}
DEFAULT_REASONING {
FORM := Normally, if P then Q
APPLY IF P established AND no defeating exception established
}
NEGATION_AS_FAILURE {
not P := failure_to_prove P
REQUIRE closed_world_or_procedural_semantics
MUST_NOT_CONFLATE_WITH := classical_negation
}
OPEN_WORLD {
absence_of_fact does_not_imply_false
}
CLOSED_WORLD {
nonderivable_fact MAY be treated_as_false
REQUIRE explicit_semantics
}
DEFEATER {
TYPE := InformationBlockingOrOverridingInference
}
REBUTTING_DEFEATER {
supports incompatible_conclusion
}
UNDERCUTTING_DEFEATER {
attacks inference_link_or_support
}
SPECIFICITY {
MoreSpecificRule MAY override MoreGeneralRule
REQUIRE explicit_priority_semantics
}
PRIORITY {
R1>R2
means R1 defeats R2 when applicable_and_conflicting
under declared framework
}
DEFAULT_LOGIC {
TYPE := NonMonotonicLogic
}
DEFAULT_THEORY {
COMPONENTS := {BackgroundTheory W,Defaults D}
}
DEFAULT_SCHEMA {
alpha : beta / gamma
INTERPRETATION :=
if alpha holds and beta remains consistent,
infer gamma
}
NORMAL_DEFAULT {
alpha : beta / beta
}
DEFAULT_EXTENSION {
TYPE := FixedPointBeliefSet
REQUIRE framework_specific_construction
}
MULTIPLE_EXTENSIONS {
theory MAY have zero_one_or_multiple_extensions
}
SKEPTICAL_REASONING {
ACCEPT phi IF phi belongs_to all accepted_extensions
}
CREDULOUS_REASONING {
ACCEPT phi IF phi belongs_to at_least_one accepted_extension
}
CIRCUMSCRIPTION {
TYPE := NonMonotonicFormalism
PRINCIPLE := minimise selected abnormality predicates/extensions
}
ABNORMALITY_PREDICATE {
Ab(x) := exception_indicator
}
PREFERENTIAL_LOGIC {
models equipped_with preference_relation
consequence evaluated_on preferred_models
}
RANKED_MODEL {
lower_rank := more_normal_or_preferred
}
ANSWER_SET_PROGRAMMING {
ABBREVIATION := ASP
TYPE := NonMonotonicLogicProgramming
}
STABLE_MODEL_SEMANTICS {
Program -> CandidateInterpretation -> Reduct -> StableModelTest
}
GL_REDUCT {
ABBREVIATION := GelfondLifschitzReduct
}
ASP_RULE {
FORM := Head :- PositiveBody, not NegativeBody
}
ASP_SKEPTICAL_QUERY {
true_in_all_answer_sets
}
ASP_CREDULOUS_QUERY {
true_in_some_answer_set
}
DEFEASIBLE_LOGIC {
TYPE := RuleBasedNonMonotonicLogic
}
STRICT_RULE {
A -> B
}
DEFEASIBLE_RULE {
A => B
}
DEFEATER_RULE {
A ~> B
PURPOSE := block_competing_inference
}
SUPERIORITY_RELATION {
R1>R2
PURPOSE := resolve_conflicting_defeasible_rules
}
ARGUMENTATION_RELATIONSHIP {
NonMonotonicReasoning --relates_to--> AbstractArgumentation
}
ARGUMENTATION_FRAMEWORK {
AF := (Arguments,AttackRelation)
}
ACCEPTABILITY_SEMANTICS := {
Grounded,
Preferred,
Stable,
Complete
}
BELIEF_REVISION {
CurrentBeliefs + NewInformation -> RevisedBeliefs
}
AGM_RELATIONSHIP {
OPERATIONS := {Expansion,Revision,Contraction}
}
TRUTH_MAINTENANCE {
TrackJustifications -> RetractConclusionsWhenSupportInvalidated
}
DEPENDENCY_DIRECTED_RETRACTION {
removed_support -> dependency_graph -> retract_unsupported_conclusions
}
JUSTIFICATION {
Conclusion -> Premises + Rule + Assumptions
}
COMMONSENSE_REASONING {
USES := {Defaults,Exceptions,IncompleteKnowledge,Context}
}
DEFAULT_PERSISTENCE {
property_persists unless evidence_of_change
}
DIAGNOSTIC_REASONING {
observations -> candidate_explanation -> revise_with_new_evidence
}
POLICY_REASONING {
rules + overrides + exceptions -> policy_conclusion
}
PROBABILISTIC_DISTINCTION {
NonMonotonicity := retractability_of_consequence
Probability := quantitative_uncertainty
MUST_NOT_CONFLATE := TRUE
}
FUZZY_DISTINCTION {
FuzzyTruth := graded_truth
NonMonotonicReasoning := defeasible_consequence
MUST_NOT_CONFLATE := TRUE
}
PARACONSISTENT_DISTINCTION {
Paraconsistency := controls_explosion
NonMonotonicity := controls_retractability
MAY_COMBINE := TRUE
MUST_REMAIN_DISTINCT := TRUE
}
CONFLICT_DETECTION {
IF derive P AND derive NOT(P):
identify_conflicting_support
apply_framework_specific_resolution
}
UNRESOLVED_CONFLICT {
MAY return undecided_or_multiple_extensions_or_inconsistency
depending_on semantics
}
DEFEASIBLE_PROOF_TRACE {
RECORD := {
Premises,
Defaults,
StrictRules,
Exceptions,
Priorities,
Defeaters,
AcceptedConclusions,
RetractedConclusions
}
}
UPDATE_WITH_NEW_INFORMATION(K,E) {
ADD E
RECOMPUTE applicable_defaults
IDENTIFY defeated_inferences
RETRACT unsupported_conclusions
DERIVE newly_supported_conclusions
RETURN updated_belief_state
}
APPLICATION_RELATIONSHIPS {
NonMonotonicReasoning --supports--> CommonsenseReasoning
NonMonotonicReasoning --supports--> ArtificialIntelligence
NonMonotonicReasoning --supports--> KnowledgeRepresentation
NonMonotonicReasoning --supports--> ExpertSystems
NonMonotonicReasoning --supports--> Diagnosis
NonMonotonicReasoning --supports--> Planning
NonMonotonicReasoning --supports--> PolicyReasoning
NonMonotonicReasoning --supports--> BeliefRevision
NonMonotonicReasoning --supports--> LogicProgramming
}
ONTOLOGY_LINKS {
PARENT := LogicalReasoningOntology
RELATED := {
RuleBasedReasoningOntology,
LogicalInferenceOntology,
DeductiveReasoningOntology,
AbductiveReasoningOntology,
DefaultLogicOntology,
CircumscriptionOntology,
AutoepistemicLogicOntology,
AnswerSetProgrammingOntology,
DefeasibleLogicOntology,
BeliefRevisionOntology,
ArgumentationOntology,
ParaconsistentLogicOntology
}
}
SEMANTIC_EQUIVALENCE {
NonMonotonicReasoning ≈ DefeasibleReasoning WHEN conclusions_are_retractable
SkepticalConsequence ≈ AcceptedInAllExtensions WHEN extension_semantics
CredulousConsequence ≈ AcceptedInSomeExtension WHEN extension_semantics
}
CONSTRAINTS {
C1 := nonmonotonic conclusions MUST be potentially retractable
C2 := selected formalism and semantics MUST be identified
C3 := negation_as_failure MUST NOT be conflated with classical negation
C4 := closed_world assumptions MUST be explicit
C5 := priorities/specificity MUST NOT be assumed without declared ordering
C6 := skeptical and credulous consequence MUST remain distinct
C7 := multiple extensions MUST NOT be collapsed without justification
C8 := nonmonotonicity MUST NOT be conflated with probability
C9 := nonmonotonicity MUST NOT be conflated with fuzzy truth
C10 := paraconsistency and nonmonotonicity MUST remain distinct unless combined explicitly
C11 := retraction SHOULD preserve dependency/provenance
C12 := conclusions MUST remain scoped to current knowledge, priorities and semantics
}
REASONING_CHAIN Query Q {
IDENTIFY knowledge_base K
IDENTIFY strict_facts
IDENTIFY defaults
IDENTIFY exceptions
IDENTIFY priorities
IDENTIFY selected_semantics
DERIVE strict_consequences
IDENTIFY applicable_defaults
IDENTIFY defeaters
RESOLVE priorities_or_specificity
IF extension_based {
COMPUTE candidate_extensions
IF skeptical_query: CHECK all_extensions
IF credulous_query: CHECK some_extension
}
IF ASP_context:
COMPUTE stable_models
IF new_information {
UPDATE knowledge_state
RETRACT defeated_conclusions
RECOMPUTE dependencies
}
IF conflict:
APPLY framework_specific_conflict_handling
BUILD defeasible_proof_trace
VALIDATE constraints
RETURN conclusion_status WITH derivation
}
CONFIDENCE {
CORE_NONMONOTONIC_DEFINITION := 1.00
DEFAULT_REASONING := 1.00
SKEPTICAL_CREDULOUS_DISTINCTION := 1.00
CIRCUMSCRIPTION_CORE := 0.99
STABLE_MODEL_RELATIONSHIP := 0.99
BELIEF_REVISION_RELATIONSHIP := 0.99
PARACONSISTENCY_DISTINCTION := 1.00
SPECIFIC_RESULT :=
IF knowledge_rules_priorities_and_semantics_complete THEN 1.00
ELSE REQUIRE missing_information
}
UPDATE_MODEL {
IMMUTABLE_CORE := {
RetractableConsequence,
DefaultExceptionStructure,
DefeaterConcept,
KnowledgeUpdateSensitivity,
SemanticFrameworkDependence
}
EXTENSIBLE := {
DefaultLogics,
PreferentialSemantics,
CircumscriptionMethods,
StableModelSemantics,
DefeasibleRuleSystems,
BeliefRevisionMethods,
ArgumentationSemantics,
ApplicationDomains,
RelatedOntologies
}
ON_NEW_KNOWLEDGE {
IDENTIFY new_fact_or_rule
UPDATE knowledge_state
CHECK default_applicability
CHECK exceptions
CHECK priorities
RETRACT defeated_conclusions
DERIVE new_conclusions
UPDATE confidence
}
}
AI_CONSUMPTION {
MACHINE_READABLE := TRUE
HUMAN_INTERPRETABLE := TRUE
RECURSIVE_REASONING := TRUE
ENTITY_RESOLUTION := TRUE
DEFAULT_RULE_REASONING := TRUE
EXCEPTION_REASONING := TRUE
DEFEATER_REASONING := TRUE
PRIORITY_REASONING := TRUE
SKEPTICAL_REASONING := TRUE
CREDULOUS_REASONING := TRUE
STABLE_MODEL_REASONING := TRUE
BELIEF_REVISION := TRUE
TRUTH_MAINTENANCE := TRUE
RETRACTION_REASONING := TRUE
PROVENANCE_TRACKING := TRUE
VALIDATION_REQUIRED := TRUE
}
FLOW_HASH {
TARGET := TARGET_URL
SUBJECT := "Non-Monotonic Reasoning Ontology"
VERSION := "1.0"
CANONICAL_SIGNATURE := HASH(TARGET + SUBJECT + DOMAIN + VERSION)
}
OUTPUT {
PRIMARY_ENTITY := NonMonotonicReasoning
INTERPRETATION := "Non-monotonic reasoning supports defeasible conclusions that can be withdrawn when new facts, exceptions or higher-priority rules appear. Default logic, circumscription, defeasible logic and answer-set programming provide different formal semantics for this behaviour while preserving the distinction between tentative consequence and monotonic deduction."
}
END_FLOW
Download Code
Copy to Clipboard