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to communicate with young CogPrime systems using an invented language halfway between the human-language and programming-language domains, such as Lojban (this possibility is discussed in Appendix E). In this initial chapter on communication, we will pursue a direction quite different from the latter
died in CogPrime. Then, in Chapter ?? we present a complementary approach to linguistic interaction with AGI systems based on the invented language Lojban: and in Chapter 48 we discuss the use of CogPrime cognition to regulate the dialogue process. A typical, engineered computational NLP system involv
subgraphs containing Atom-valued variables . Each such subgraph may be represented as a PredicateNode, and frequent subgraph mining will find such PredicateNodes that have surprisingly high truth values when evaluated across the Atomspace. But unlike MOSES when applied as described above, such an algorithm wi
HT_013251 336 A Glossary based, even though these other links can be processed via (e.g. PLN) logical inference via interpreting them logically. e Lojban: A constructed human language, with a completely formalized syntax and a highly formalized semantics, and a small but active community of speakers. I
logue: Linguistic interaction between two or more parties. In a CogPrime context, this may be in English or another natural language, or it may be in Lojban or Psynese. e Dialogue Control: The process of determining what to say at each juncture in a dialogue. This is distinguished from the linguistic asp
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
ogue: Linguistic interaction between two or more parties. In a CogPrime context, this may be in English or another natural language, or it may be in Lojban or Psynese. • Dialogue Control: The process of determining what to say at each juncture in a dialogue. This is distinguished from the linguistic as
. • 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
ogue: Linguistic interaction between two or more parties. In a CogPrime context, this may be in English or another natural language, or it may be in Lojban or Psynese. • Dialogue Control: The process of determining what to say at each juncture in a dialogue. This is distinguished from the linguistic as
. • 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
Entities connected to both Lojban and PredicateNodes
MindAgents
PERSONOpenCog
ORGANIZATIONConceptNodes
ORGANIZATIONPredicateNode
LOCATION
Marc Rich
PERSONTruthValues
ORGANIZATIONImplicationLinks
ORGANIZATIONCombo
LOCATIONCogPrime
ORGANIZATIONthe Webmind AI Engine
ORGANIZATION
Marvin Minsky
PERSONDeSTIN
ORGANIZATIONSTICurrency
LOCATION
George W. Bush
PERSONAttentionalFocus
ORGANIZATIONScheduler
ORGANIZATIONFrameNet
ORGANIZATIONSchemallode
PERSONVariableAtoms
ORGANIZATIONCassio Pennachin
PERSON