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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
get processor time, at which point in time. • Schema: A "script" describing a process to be carried out. This may be explicit, as in the case of a GroundedSchemallode, or implicit, as the case in Schema maps or ungrounded Schemallodes. • Schema Encapsulation: The process of automatically recognizing a Schema Map
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
PLN Rules as GroundedSchemallodes PLN inference rules may be represented as GroundedSchemallodes. So for instance the PLN Deduction Rule, becomes a GroundedSchemallode with the properties: • Input: a pair of links (LI, L2), where LI and L2 are the same type, and must be one of InheritanceLink, ImplicationLink, Sub
links that could simply be found by the pattern matcher when trying to find variable assignments to satisfy (El, E2, E3, E4}. 36.4.1 Breakdown into MindAgents To make this sort of PLN dynamic work, we require a number of MindAgents to be operating "ambiently" in the background whenever inference is occurr
asic backward step to carry out variable fulfillment queries as well as truth value queries. We may encapsulate these processes in the Atomspace as GroundedSchemallode: BasicForwardlnferenceStep GroundedSchemallode: BasicBackwardInferenceStep which take as input some Atom Al. and also as GroundedSchemallode: Att
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
get processor time, at which point in time. • Schema: A "script" describing a process to be carried out. This may be explicit, as in the case of a GroundedSchemallode, or implicit, as the case in Schema maps or ungrounded Schemallodes. • Schema Encapsulation: The process of automatically recognizing a Schema Map
Entities connected to both MindAgents and GroundedSchemallode
ConceptNodes
ORGANIZATIONOpenCog
ORGANIZATION
Marc Rich
PERSONDeSTIN
ORGANIZATIONImplicationLinks
ORGANIZATIONCogPrime
ORGANIZATIONPredicateNode
LOCATIONPredicateNodes
ORGANIZATION
Marvin Minsky
PERSONCombo
LOCATIONTruthValues
ORGANIZATION
George W. Bush
PERSONFrameNet
ORGANIZATION
Vicky Ward
PERSON
Python
ORGANIZATIONSchemallode
PERSON
Dorner
ORGANIZATIONthe Webmind AI Engine
ORGANIZATIONSTICurrency
LOCATIONMoshe
PERSON