> > The problem is to gradually improve overall causal model of > environment (and its application for control), including language and > dynamics of the world. Better model allows more detailed experience, > and so through having a better inbuilt model of an aspect of > environment, such as language, it's possible to communicate richer > description of other aspects of environment. But it's not obvious that > bandwidth of experience is the bottleneck here.
No, but nor is it obvious that this *isn't* one of the major bottlenecks... > It's probably just > limitations of the cognitive algorithm that simply can't efficiently > improve its model, and so feeding it more experience through tricks > like this is like trying to get a hundredfold speedup in the > O(log(log(n))) algorithm by feeding it more hardware. Hard to say... Remember, we humans have a load of evolved inductive bias for understanding human language ... AGI's don't ... so using Lojban to talk to an AGI could be a way to partly make up for this deficit in inductive bias... > It should be > possible to get a proof-of-concept level results about efficiency > without resorting to Cycs and Lojbans, and after that they'll turn out > to be irrelevant. > Cyc and Lojban are not comparable, one is a knowledge-base, the other is a language Cyc-L and Lojban are more closely comparable, though still very different because Lojban allows for more ambiguity (as well as Cyc-L level precision, depending on speaker's choice) ... and of course Lojban is intended for interactive conversation rather than knowledge entry ben g ------------------------------------------- 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
