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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
this portion to the rest of the heterarchy. A rigorous mathematical analysis of the formation of hierarchical, heterarchical and dual networks in CogPrinte systems has not yet been undertaken, and would certainly be an inter- esting enterprise. Similar to the theory of small world networks, there is ampl
sambigua- tion that needs to be done to get the structure of the resultant Atom-set correct. Any further disambiguation is left to be done later, by MindAgents acting on the Atom-sets after they've already been placed in the AtomSpace. • In the old approach, the RelEx2Frame rules attempted, in many cases,
l-symbolic network is a good representation for directly storing many kinds of memory, and interfacing between those that it doesn't store directly. CogPrinte's AtomSpace is a neural-symbolic network designed to work nicely with PLN, MOSES, ECAN and the other key CogPrime cognitive processes; it supplies
gh STI., which rapidly decreases in meet cases local workspaces bubbles of interlinked Atoms with moderate impor- tance, focused on by a subset of MindAgents (defined in Chapter 19 of Part 2) for a period of time perceptual associative memory HebbianLinks in the AT sensory memory spaceserver/timeserve
d quite distant from the agent's current sensory observations; but it may still be formally evaluated based on the agent's history. In the standard CogPrinte notation as introduced formally in Chapter 20 (where indentation has function-argument syntax similar to that in Python, and relationship types are
Entities connected to both MindAgents and CogPrinte

Marc Rich
PERSONConceptNodes
ORGANIZATIONOpenCog
ORGANIZATIONDeSTIN
ORGANIZATIONCogPrime
ORGANIZATION
Marvin Minsky
PERSONTruthValues
ORGANIZATIONImplicationLinks
ORGANIZATION
Dorner
ORGANIZATION
Python
ORGANIZATION
George W. Bush
PERSONStan Franklin
PERSON
Vicky Ward
PERSON
Michael Douglas
PERSON
Shane Legg
PERSON
Joscha Bach
PERSONSimilarityLinks
ORGANIZATIONPetBrain
ORGANIZATIONOpenCog Atomspace
ORGANIZATIONFrameNet
ORGANIZATION