systems that know and understand and think and learn
Deep learning can produce some impressive chatbots, but they are hardly intelligent. In fact, they are precisely ignorant in that they do not think or know anything.
More intelligent dialog with an artificially intelligent agent involves both knowledge and thinking. In this article, we educate an intelligent agent that reasons to answer questions.
Going on 5 years ago, I wrote part 1. Now, finally, it’s time for the rest of the story.
Continue reading “Confessions of a production rule vendor (part 2)”
A nationwide physical therapy business is renowned for eliminating chronic pain. One unique aspect of this business is that it eliminates pain not by manipulation but by providing clients with expertly selected sequences of exercises that address problems in their functional anatomy. In effect, the business helps people fix themselves and teaches them to maintain their musculoskeletal function for pain-free life.
The business has dozens of clinics with many more therapists. Its expertise comes primarily from its founder and a number of long-time employees who have learned through experience. We have been engaged to assist with several challenges on several occasions.
I found the following video in a recent post by Steve DeAngelis of Enterra Solutions:
It’s a bit too far towards the singularity/general AI end of the spectrum for me, but nicely done and fun for many not in the field, perhaps:
Enterra is an interesting company,too, FYI. They are in cognitive computing with a bunch of people formerly of Inference Corporation where I was Chief Scientist. Doug Lenat of Cycorp was one of our scientific advisors. Interestingly enough, Enterra uses Cyc!