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Diagram

/^^^^^^^^^\ Massively Parallel Recognition Tags /^^^^^^^^^\ / \ / auditory \ /visual memory\ / memory \ | | ________ | | | /--------|---------\ / FRENCH \ | | | | recog-|nition 1 | \________/ | | | | | | __________ | | | /--------|---------\ / JAPANESE \ | | | | recog-|nition 2 | \__________/ | | | | | | _________ | | | /--------|---------\ / ENGLISH \ | | | | recog-|nition 3 | \_________/---|-------------\ | | ___|___ | | flush-vector| | ________ | | | /image \ | ____V_ ____V__ | / \ | | | / percept \ | / Psi \------/English\----|-/ auditory \| | | \ engrams /---|---/concepts\----/ lexicon \---|-\ phonemes / | | \_______/ | \________/ \_________/ | \________/ |

The diagram above shows each brain-mind information path as if single fibers were carrying information which BrainTheory requires to flow in massive parallelism, not because of the following considerations but as a result of the considerations:

As a front of ConSciousness advances down the time-dimension of the MindGrid and fills in the available memory locations, learning occurs as massively multiple association-tags gradually shift their origin or their destination. That is to say, to learn a new idea is to revisit old ideas and slightly or drastically modify them -- by changing the very associations that make up the idea.

Because an associative-tag fiber as shown in the above diagram represents massively parallel fibers, all carrying essentially the same information, such as the recognition of a percept being associated with a concept -- these fibers by their sheer redundancy assure extreme reliability in a biological brain-mind.

Early versions of AI are not yet massively parallel but are nevertheless quite reliable because there are no brain cells dying out at haphazard times or in haphazard locations. Therefore, whereas a wetware brain-mind actually needs massive parallelism in order to function reliably, primitive AI software that is not not yet performing mission-critical StewardshipOfEarth duties may "fake" the massive parallelism and may, for instance, terminate knowledge-base searches after the finding of only one result in cases where a wetware ConSciousness would inescapably gather massively multiple search-results and would therefore blithely continue along a never less-than-MPP pathway (where "MPP" is a common acronym for "massively parallel processing).

For instructional purposes, each massively parallel channel can be shown to flow not only like a single fiber across the MindGrid but, more dramatically, like a sparsely instantiated ribbon cable which connects othogonally like an L or an F with other neuronal cables. As long as each quasi-ribbon-cable connects with another ribbon-cable, massive parallelism is preserved throughout the MindGrid. Any breakdown in the massive parallelism would indicate a serious flaw in the basic design for artificial intelligence, so the "ribbon-cable test" is valuable both for teaching the AI BrainTheory and for troubleshooting the AI Minds.

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