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heritance A Similarity A B Note that here the symmetry or otherwise of the link is not implicit in the notation. Similar- ityLinks are symmetrical, InheritanceLinks are not. When this distinction is necessary, it will be explicitly made. WIKISOURCE:FunctionNotation 20.3 Representing Functions and Predicates Sc
d as True if execution is successful, and False otherwise. And, analogously to the Graph operator for Schemallodes, we have for PredicateNodes the SatisfyingSet operator, defined so that the SatisfyingSet of a predicate is the set whose members are the elements that satisfy the predicate. Formally, that is:
d B are characterized by relationships of the form Member C A, Member D B, etc. It is easy to see that, in the crisp case, where all MemberLinks and InheritanceLinks have strength 0 or 1, FOPLN reduces to standard propositional logic. Where inheritance is crisp but membership isn't, FOPLN reduces to higher-order
PLN performs the translation from Evaluation into Inheritance form via the inference steps Evaluation contains (Tree° Image4) --> \\ definition of SatisfyingSet Member Image4 (SatisfyingSet (Evaluation contains(Tree0 *)) ) -- \\ definition of hasTreeO Member Image4 hasTree0 --> \\ M2I, Member to Inheritan
sorimotor network will naturally possess hierarchical conceptual relationships, and will thus naturally grow hier- archical links between them (e.g. InheritanceLinks and IntensionalinheritanceLinks via PLN, AsymmetricHebbianLinks via ECAN). EFTA00624057 15 Emergent Networks of Intelligence artefact Fig. 15.2
n by ExtensionalEquivalenceLink ConceptNode: EatingEvents SatisfyingSetLink PredicateNode: eat In other words, we say that "EatingEvents" is the SatisfyingSet of the predicate "eat": it is the set of entities that satisfy the predicate "eat". Note that the truth values of MemberLink and EvaluationLink are
nsorimotor network will naturally possess hierarchical conceptual relationships, and will thus naturally grow hier- archical links between them (e.g. InheritanceLinks and IntensionalInheritanceLinks via PLN, AsymmetricHebbianLinks via ECAN). HOUSE_OVERSIGHT_013197 282 15 Emergent Networks of Intelligence Fig. 15
ven by ExtensionalEquivalenceLink ConceptNode: EatingEvents SatisfyingSetLink PredicateNode: eal In other words, we say that "EatingEvents" is the SatisfyingSet of the predicate "eat": it is the set of entities that satisfy the predicate "eat". Note that the truth values of MemberLink and EvaluationLink are f
Entities connected to both InheritanceLinks and SatisfyingSet
ConceptNodes
ORGANIZATIONCogPrime
ORGANIZATIONOpenCog
ORGANIZATION
Marc Rich
PERSONPredictivelmplicationLink
ORGANIZATION
Neural Darwinism
PERSON
SubsetLink
PERSONProbabilistic Logic Networks
ORGANIZATION
Edelman
ORGANIZATIONImplicationLink
ORGANIZATIONExOut
ORGANIZATION
Woody Allen
PERSON
Earth
LOCATION
Vince Foster
PERSONCalvin
PERSONVariableAtoms
ORGANIZATION
Yudkowsky
PERSONKaj Sotala
PERSON
Arkin
PERSON
Kohlberg
PERSON