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hich data and procedure are explicitly identical, and there is just one new active data structure in place of the distinction between AtomSpace and MindAgents Where on this continuum does the "mere learning" end and the "real self-modification" start? In this chapter we consider some mechanisms for "adva
ilation 319 schema learning the learning of schemata carrying out cognitive processes in more specialized, context-dependent ways than the general MindAgents do. Eventually, once a CogPrime instance becomes sufficiently complex and advanced, these cognitive schema may replace the MindAgents altogether, l
ent and/or interesting sub-hypergraphs in the Atomspace. • First-Order Inference (FOI): The subset of PLN that handles Logical Links not in- volving VariableAtoms or higher-order function.s. The other aspect of PLN, Higher-Order Inference, uses Truth Value formulas derived from First-Order Inference. EFTA0062
mpilation 319 schema learning the learning of schemata carrying out cognitive processes in more specialized, context-dependent ways than the general MindAgents do. Eventually, once a CogPrime instance becomes sufficiently complex and advanced, these cognitive schema may replace the MindAgents altogether, lea
which data and procedure are explicitly identical, and there is just one new active data structure in place of the distinction between AtomSpace and MindAgents Where on this continuum does the "mere learning" end and the "real self-modification" start? In this chapter we consider some mechanisms for "advan
equent and/or interesting sub-hypergraphs in the Atomspace. First-Order Inference (FOI): The subset of PLN that handles Logical Links not in- volving VariableAtoms or higher-order functions. The other aspect of PLN, Higher-Order Inference, uses Truth Value formulas derived from First-Order Inference. HOUSE_OVER
to Atoms with more impor- tance, and hence creates an evolutionary, dynamic with importance as the fitness criterion and the whole constellation of MindAgents as the novelty-generation mechanism. However, MOSES explicitly embodies evolutionary dynamics for the learning of new patterns and procedures that
breathe, therefore people breathe." Second: • "'Variable fulfillment query"'. Given a target Link (Atoms may be Nodes or Links) with one or more VariableAtoms among its targets, figure out what Atoms may be put in place of these VariableAtoms, so as to give the target Link a high strength* confidence (i.e.
d effort management frameworks attempt to enforce this, via minimizing the amount of effort spent by the system in getting to a certain conclusion. MindAgents operating primarily on one kind of knowledge (e.g. MOSES, PLN) may for a time seek to follow the shortest paths within their particular correspondin
nt and/or interesting sub-hypergraphs in the Atom.space. • First-Order Inference (FOI): The subset of PLN that handles Logical Links not in- volving VariableAtoms or higher-order functions. The other aspect of PLN, Higher-Order Inference, uses Truth Value formulas derived from First-Order Inference. EFTA00624
Entities connected to both MindAgents and VariableAtoms
ConceptNodes
ORGANIZATIONOpenCog
ORGANIZATION
Marc Rich
PERSONCogPrime
ORGANIZATIONDeSTIN
ORGANIZATIONImplicationLinks
ORGANIZATIONPredicateNodes
ORGANIZATION
George W. Bush
PERSONPredicateNode
LOCATION
Woody Allen
PERSONCombo
LOCATIONTruthValues
ORGANIZATION
Marvin Minsky
PERSON
Dorner
ORGANIZATION
Stephen Hawking
PERSON
Python
ORGANIZATIONSTICurrency
LOCATION
Vicky Ward
PERSONOpenCog Atomspace
ORGANIZATION
Jean Piaget
PERSON