On 02/27/2017 10:21 PM, Ken Kafieh wrote:
So you are saying that you should use learning algorithms to pick out potentially useful inference chains. I feel like our brains probably approach it in a similar way so I guess I can agree that is a good starting point. But I am wondering if it may be limiting the set of problems that can be solved to those that we humans can already solve. To solve the hard problems -- cancer, aging, Rubiks cube -- maybe we need wildly unconventional thinking sequences. For something as important as inference maybe it would be warranted to find a few shortcuts instead of relying totally on learning -- at least in the beginning if not always.
You're absolutely correct. Learning here is meant very broadly, it's more like AGI/reasoning/learning. But the idea is to enable full introspection so that the system can devote its attention to reasoning itself, as a skill.
Nil
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