Epstein Secrets

associated with them, each of which are small collections of numbers; there are multiple versions of truth values, with varying degrees of detail. TruthValues are context-dependent, and useful Atoms will typically have multiple TruthValues. indexed by context. • Some Atoms are nodes, and may have names.

utable AtomHandles as compactly as possible, while still enabling very efficient modification of the mutable properties of an Atom (TruthValues and AttentionValues). • Perform queries as fast as possible. • Keep the working set of all Atoms currently being used by CogPrime's cognitive dynamics in RAM. • Save

n-channel importance separately from ordinary importance. And, just as we have channel-specific AttentionValues, we may also have channel-specific TruthValues. This allows the system to separately account for the frequency of a given percep- tual item in a given interaction channel. However, no specific mec

ImportanceUpdating MindAgent must compute interaction-channel importance separately from ordinary importance. And, just as we have channel-specific AttentionValues, we may also have channel-specific TruthValues. This allows the system to separately account for the frequency of a given percep- tual item in a giv

FTA00624489 41.5 Inference-Cuided Evolution of Pattern-Embodying Predicates 343 components. We want to identify and reward those Predicates whose TruthValues actually add information beyond what is implicit in the simple fact of combining their components. For instance, consider the PredicateNode AND I

will fail because there is nothing to study! These same tables may be used in the attention allocation process, for assigning of MindAgent- specific AttentionValues to Atoms. WIKISOURCE:MapMining 42.4 Mining the AtomSpace for Maps Searching for general maps in a complex AtomSpace is an unrealistically difficult