zlacker

[parent] [thread] 3 comments
1. The_ra+(OP)[view] [source] 2019-12-13 18:18:25
There's still no complete explanation on why it is a failure. What are the technical difficulties they can't overcome?
replies(1): >>goatlo+sh
2. goatlo+sh[view] [source] 2019-12-13 20:20:07
>>The_ra+(OP)
Maybe because the world and human knowledge are incredibly complex and difficult things to put into logical relations well enough to achieve more success?

Consider that humans learn though having bodies to explore the world with, while forming a variety of social relations to learn the culture. Which is very different from encoding a bunch of rules to make up an intelligence.

replies(1): >>The_ra+5y
◧◩
3. The_ra+5y[view] [source] [discussion] 2019-12-13 22:10:43
>>goatlo+sh
Creating a software that learns the real world indeed seems like a really hard problem without a body.

I was referring to why a software that parse the semantics of Wikipedia articles and make them queryable through natural language questions, is something that humanity isn't able to do?

replies(1): >>goatlo+NH
◧◩◪
4. goatlo+NH[view] [source] [discussion] 2019-12-13 23:40:25
>>The_ra+5y
That might depend on how much semantics is related to having a body. We do utilize quite a lot of metaphors that are based on the kinds of bodies and senses we have. The question here is how much embodiment is necessary for understanding semantics. Maybe it's possible to brute force around that with ML, or stack enough human hours into building the right ontologies in symbolic AI. But maybe not.

I think people like Rodney Brooks are of the belief you need to start with robots that learn their environment and build up from there.

[go to top]