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r vast diversity, not from any single, perfect principle." This perspective was extended in the more recent work The Emotion Machine IMM071, where Minsky argued that emotions are "ways to think" evolved to handle different "problem types" that exist in the world. The brain is posited to have rule-base
ines represent nodes and links in OpenCogPrimes mem- ory, and stars denote those nodes with a high level of attention (represented in OpenCog by the ShortTermlmportance node variable) at the particular point in time. In this perspective, self, free will and reflective consciousness are specific phenomena occur- ring
g of how CogPrime is intended to function, and a detailed understanding of the OCF is necessary for doing concrete implementation work on CogPrime. Marvin Minsky, in a personal conversation with one of the authors (Goertzel), once expressed the opinion that a human-level general intelligence could probably be
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
ly specific theories of intelligence, and hence have attracted only moderate interest from researchers not adhering to these theories. An example is Minsky's work presented in The Emotion Machine IM MOM which arguably does constitute an architecture diagram for the human mind, but which is only loosely
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
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