In one word: learning. > > In one sentence: Mine the history of inferences and ask the system to > come up with inference control patterns that may speed up future > inferences.
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 received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/6e654517-e88d-49e8-9551-d1bce4ff2384%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
