/^^^^^^^^^\ EnNounPhrase finds noun or pronoun /^^^^^^^^^\ / EYE \ _____________ / EAR \ / \ | | | / \ / auditory \ | | | | | ( EnThink ) | memory | | _______ | | | | \_____________/ | channel | | /image \ | | | | | | | | | / percept \---|-----+ | __V___ | | | | \ engram / | a| | | /EnNoun\ | | | | \_______/ | b|c| | / Phrase \----|-------|--"robots" | | | s|o|f|( subject ) __V___ | | | visual | t|n|i| \________/ /EnVerb\ | | | | r|c|b| ( Phrase )--|--"save" | | memory | a|e|e| _______ \______/ | | | | c|p|r| /EnNoun \/ | | | | channel | t|t|s| / Phrase \ | | | | | | | | ( indirect )-|-------|--"people" | | | | | | \ object / | | | | | | | | \_______/ __V___ | | | _______ | |_|_| /EnNoun\ | | | /fresh \ | / Psy \ / Phrase \ | | | / image \ | /concept\ ( direct )-|--"work" | | \ engram /---|-\ array / \ object / | | | \_______/ | \_____/ \______/ | |
EnNounPhrase finds an English noun or pronoun to serve as the subject of a sentence or as the indirect or direct object of a verb being thought by EnVerbPhrase. EnNounPhrase may also call EnPrep to insert a preposition; EnArticle to insert "a" or "the" before a noun; or EnAdjective to insert an English adjective describing a noun.
For the subject of a sentence of thought, EnNounPhrase typically finds the most active noun-concept in the Psy array of concepts. The English verb-phrase module EnVerbPhrase may call the EnNounPhrase module for both an indirect object of a verb and for a direct object. If an AI Mind embodied in a robot can recognize and name objects with a VisRecog module, the noun naming the recognized object may go directly into the slot for a direct object in a sentence being generated. The robot might say, "I see a dog." VisRecog may first identify the concept being recognized and then call EnNounPhrase to express the noun of the concept in a thought.
When the EnNounPhrase module must recall a noun or a pronoun in response to an external query, such as, "Who are you," first the SpreadAct module will use the $qv1psi variable to find and activate the needed noun or pronoun and the $qv2psi variable to identify the verb associated with the target noun, first in the query itself, and then in the response to the query. Since both the noun and the verb are combined in the search for memories responding to the query, the AI will not recall some random statement about the subject of the query, but will instead recall any available memory expressing both the subject of the query and the verb expressed in the query. For the query "Who are you", the AI must find both the ego-concept "I" and the be-verb to be expressed as "am", as in "I am."
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