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ion Focusing 167 28.6.2 Using Imprecise Probabilities to Guide Visual Attention Focusing 168 28.6.3 Sketch of Application to DeSTIN 168 29 Bridging the Symbolic/Subsymbolic Gap 171 29.1 Introduction 171 29.2 Simplified OpenCog Workflow 173 29.3 Integrating De$TIN and OpenCog 174 29.
Agent migration, and machines joining or leaving the CogPrime cluster. So, at the Unit level, attention allocation in CogPrime has two aspects: how MindAgents and Tasks receive attention from CogPrime, and how Atoms receive attention from different MindAgents and Tasks. The topic of this Section is the fo
need to coordinate closely together; or, b. operate largely separately and can be mostly considered as discrete modules 171 EFTA00624318 172 29 Bridging the Symbolic/Subsymbolic Gap In evolutionary, terms, it is clear that subsymbolic intelligence came first, and that most of the human brain is conc
idual cognitive processes. The CogPrime design gravitates more toward the latter approach. though also with some specific mechanisms within various MindAgents; and efforts have been made to have these specific mechanisms modulated by the generic attention allocation structures and dynamics wherever possibl
a bit, so that it can more easily assess its hand's state visually, and try the optimization-based movement planning again. EFTA00624328 182 29 Bridging the Symbolic/Subsymbolic Gap • Once the robot estimates the goal of gabbing the block has been successfully achieved, it proceeds to the next sub-s
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
Entities connected to both Bridging and MindAgents
OpenCog
ORGANIZATION
Marc Rich
PERSONConceptNodes
ORGANIZATIONDeSTIN
ORGANIZATIONCogPrime
ORGANIZATIONPredicateNode
LOCATIONPredicateNodes
ORGANIZATIONTruthValues
ORGANIZATIONImplicationLinks
ORGANIZATIONCombo
LOCATIONSTICurrency
LOCATION
Python
ORGANIZATIONPetBrain
ORGANIZATIONScheduler
ORGANIZATIONSchemallode
PERSONSchemata
ORGANIZATIONMachine Learning
PERSONData Mining
ORGANIZATIONAdaptive
ORGANIZATIONIntegrative Intelligence
ORGANIZATION