2) Language as affordance: language is used by people to achieve some immediate effect on their surroundings, just like any other motor action. Requires an environment, as well as goals, intentionality.
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Language serves many functions, but in particular: 1) Language as communication: language is used to transfer mental models (or generally, information) from one mind to another. Requires multiple agents, theory of mind, and having something to talk about (grounding).
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3) Language as operating system for thinking: even in the absence of other agents or an environment to effect, people use language to crystalize & structure their thoughts. Perhaps the most interesting function of language. Requires a way of generating pre-language "thoughts".
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There are a few more as well. I think a system can be said to be capable of "language understanding" if it can use language to perform at least one of these functions, preferably all three. Naturally, all of these require strong forms of external grounding.
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End of conversation
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Deep thoughts on language, made possible by language, shared with others thanks to language. You're making my head spin!
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Great points. This is why math and music (composition, musical notes) fall under the same functions as language.
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True. The most interesting and neglected is the grounding. I wish there would be criteria or a metric for grounding! Then it would be great to compare systems. And finally to see how much grounding (of atomic concepts) is required to get a level X of cohesive understanding. Uuh
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Makes it seem like NLP should include much more image/video/sensor data :)
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Interesting points, in fact I am curious to know more about the foundation of research or experience leading to these conclusions. Is this all based on personal experience working with AI or might you have some more readings that could be offered?
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