The language model does not need interaction with the environment when the language model is already complete which is possible for formal languages but nearly impossible for natural language. That is the reason why formal language need much less cost.
If the language must be learned then things are completely different and you are right that the interaction with the environment is necessary to learn L. But in any case there is a complete distinction between D and L. The brain never sends entities of D to its output region but it sends entities of L. Therefore there must be a strict separation between language model and D. - Matthias >>> Vladimir Nesov wrote I think that this model is overly simplistic, overemphasizing an artificial divide between domains within AI's cognition (L and D), and externalizing communication domain from the core of AI. Both world model and language model support interaction with environment, there is no clear cognitive distinction between them. As a given, interaction happens at the narrow I/O interface, and anything else is a design decision for a specific AI (even invariability of I/O is, a simplifying assumption that complicates semantics of time and more radical self-improvement). Sufficiently flexible cognitive algorithm should be able to integrate facts about any "domain", becoming able to generate appropriate behavior in corresponding contexts. ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=117534816-b15a34 Powered by Listbox: http://www.listbox.com
