Epstein Secrets

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

nd TruthValue in doing so). The attention allocation subsystem is also pertinent to MindAgent scheduling, because it discusses dynamics that update ShortTermlmportance (STI) values associated with MindA- gents, based on the usefulness of MindAgents for achieving system goals. In this chapter, we will not enter into

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

ht of the link from Atom A to Atom B is based on the probability of shared utility of A and B - economic attention allocation consists of spreading ShortTermlmportance and LongTer- mImportance "artificial currency" values (both grounded in the universal underlying "juju" currency value defined further below) betwee

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

ic truth values of the implications in CogPrime's Context A Procedure -> Good triples. However, in CogPrime this probability is not the same as the ShortTermlmportance "attention value" associated with the Implication link representing that implication. Here LIDA merges together two concepts that in CogPrime are se