Epstein Secrets

. • Imitation Learning: Learning via copying what some other agent is observed to do. • Implication: Often refers to an ImplicationLink between two PredicateNodes, indicating an (extensional, intensional or mixed) logical implication. • Implicit Knowledge Representation: Representation of knowledge via having

, among them the explicit use of a ConceptBlending MindAgent, that blends two or more ConceptNodes into a new one. • Confidence: A component of an OpenCog/PLN TruthValue, which is a scaling into the interval 10,11 of the weight of evidence associated with a truth value. In the simplest case (of a probabilistic Simpl

. • Imitation Learning: Learning via copying what some other agent is observed to do. • Implication: Often refers to an ImplicationLink between two PredicateNodes, indicating an (extensional, intensional or mixed) logical implication. • Implicit Knowledge Representation: Representation of knowledge via having

, among them the explicit use of a ConceptBlending MindAgent, that blends two or more ConceptNodes into a new one. • Confidence: A component of an OpenCog/PLN TruthValue, which is a scaling into the interval 10,11 of the weight of evidence associated with a truth value. In the simplest case (of a probabilistic Simpl

er atoms. Grounded- PredicateNodes and GroundedSchemaNodes connect to explicitly represented procedures (sometimes in the Combo language); ungrounded PredicateNodes and SchemaNodes are abstract and, like ConceptNodes, purely characterized by their relationships. Node Probability: Many PLN inference rules rely on

ys, among them the explicit use of a ConceptBlending MindAgent, that blends two or more ConceptNodes into a new one. e Confidence: A component of an OpenCog/PLN TruthValue, which is a scaling into the interval [0,1] of the weight of evidence associated with a truth value. In the simplest case (of a probabilistic Simple