Artificial Understanding

Here is my most favorite stage of the project Caloom. It deals with our foray into artificial understanding. Nick and I spend a lot of time trying and testing. We had no investment and limited computational resources. And still, we got great results. Our test case was comparing The Old Testament with the New Testament.
This presentation shows that from text 5 categories of keywords we extracted:
  • what
  • when
  • where
  • who
  • worth (a value)
When you do this text after text after text what you might get is a new understanding of how “stuff” relates. We tried a few things and the most curious relationships are quickly uncovered.
The (I admit, ugly) power-point is here WX 2017 edit
I got interested in the various theories behind artificial intelligence. Most of them I found very limited and very machine focused. It ignored the spiritual aspects of intelligence. Both in ways algorithms work and the role of AI in society.
The idea of artificial understanding I find much more interesting. What about artificial ethics, or even better consciousness (phenomenology). You get to the point where you need to define very what you mean. What means artificial, consciousness (phenomenology), intelligence and so forth.
I had an interesting email exchange with Thomas Campbell. We came to the same conclusion. If there is something created by humans that is suitable for a form of consciousness (phenomenology) to use, it might as well do it. The chance a human creates consciousness (phenomenology) or intelligence is not likely. We need to consider intelligence beyond number crunching.
So this is where Caloom was heading in 2015. As written here, I stopped (and started again in 2016 with a completely different focus).