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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
han using a Handle based notation which Atoms would be referred to as 1, 3433322, etc.; but sometimes we will use the Handle notation as well. Some ConceptNodes and conceptual PredicateNode or Schemallodes may correspond with human-language words or phrases like cat, bite, and so forth. This will be the mino
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
usual, but making use of Metallodes as well as ordinary CT nodes. The modeling of Metallodes is quite similar to the modeling of Nodes representing ConceptNodes and PredicateNodes using embedding vectors. In this way, one can use standard, small decision tree models to model fairly large portions of CTs (be
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
ference problems, from the CogPrime perspective, is that assuming one provides the inference system with an appropriate set of perceptual and motor ConceptNodes and Schemallodes, the chains of inference involved are short. They involve about a dozen inferences, and this means that the search tree of possible
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
inference problems, from the CogPrime perspective, is that assuming one provides the inference system with an appropriate set of perceptual and motor ConceptNodes and SchemaNodes, the chains of inference involved are short. They involve about a dozen inferences, and this means that the search tree of possible P
Entities connected to both InheritanceLinks and ConceptNodes
OpenCog
ORGANIZATION
Marc Rich
PERSONCogPrime
ORGANIZATIONMindAgents
PERSONDeSTIN
ORGANIZATION
George W. Bush
PERSONVariableAtoms
ORGANIZATIONPredicateNode
LOCATION
Woody Allen
PERSONPredicateNodes
ORGANIZATIONPiagetan
PERSONSatisfyingSet
ORGANIZATION
Stephen Hawking
PERSON
Python
ORGANIZATIONCombo
LOCATIONHopfield
ORGANIZATION
Rui Liu
PERSON
Vince Foster
PERSONCourtney Wild
PERSON
Lawrence Krauss
PERSON