Epstein Secrets

ImplicationLink_HOJ Inh SX stupid <.9> Inh SX rich <.97 EFTA00624176 30 20 Knowledge Representat

latter situation is disallowed on the software level, and is assumed in discussions not to occur. Sonic Atoms have natural names. For instance. the Schemallode corresponding to the ele- mentary schema function + may quite naturally be named "+". The NumberNode corresponding to the number .5 may naturally be

hat ExecutionLink X A B ExecutionLink2 A B means: X so that ExecutionLink A X B ExecutionLink3 A B means: X so that ExecutionLink A B X Finally, a Schemallode may be associated with a structure called a Graph. Where S is a Schemallode, Graph(S) (x,y): ExecutionLink S x y ) Sometimes, the graph of a Sche

VDIFF. Step A calculates the amount by which the rich have been made poorer, and uses this to make the

scribed earlier. When an Atom is encountered, it looks into the AtomTable to evaluate the object. In the case that a Schema refers to an ungrounded Schemallode (that is not defined by a ComboTree as defined in Chapter 19), and an appropriate EvaluationLink value isn't in the AtomTable, there's an evaluatio

value query with target Al a InheritanceLink Bob rich Suppose the deduction rule It is chosen. Then i

On the other hand, given a ConceptNode C involved in inferred ExecutionLinks of the form ExecutionLink C Ai Bi i-1, .. ,n one may wish to find a Schemallode so that the corresponding Schemallode will fulfill this same set of ExecutionLinks. It may seem surprising at first that a ConceptNode might be inv

g up a block in the dark is a perfect example of rich coupling of perception and action networks. Feeli

by the quest of figuring out which procedures can be expected to achieve a certain goal in a certain sort of context. • Grounded Schemallode: See Schemallode, Grounded. • Hebbian Learning: An aspect of Attention Allocation, centered on creating and updating HebbianLinks, which represent the simultaneous

twork, in which a hierarchy exists, along with a rich network of heterarchical links joining nodes in t

plementation, the system can still reason about its use of different mind dynamics by considering each MindAgent as a virtual Procedure with a real Schemallode attached to it. This can lead to some valuable learning, with the obvious limitation that in this approach the system is thinking about its MindAgen