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

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

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