Epstein Secrets

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 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:

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

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

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

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

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

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