Artificial Intuition

Convergence08 was a great conference with many interesting people and ideas. Thankfully the number of crackpots was very low, and even the “new age” mysticism stuff was at a minimum. Instead I found hundreds of authors, doctors, biologists, programmers, engineers, physicists, and more clear thinking folks all interested in how the new technologies will shape our world in ways more profound than we have ever experienced before.

My favorite insights came from Monica Anderson’s presentation on her approach to AI programming, which she called “Artificial Intuition“. Unlike all other approaches to AI I’m familiar with Anderson uses biological evolution as her main analogs for conceptualizing human intelligence. I see this approach as almost a *given* if you have a good understanding of human thought, but it’s actually not a popular conceptual framework at all.

It has always surprised me how poorly many computer programmers understand even rudimentary biological concepts such as the underlying simplicity of the human neocortex and the basic principles of evolution which I’d argue emphatically have defined *every single aspect* of our human intelligence over a slow and clumsy, hit and miss process operating over millions of years. I think programmers tend to focus on mathematics and rule systems which are great modelling systems but probably a very poor analog for intelligence. This focus has in many ways poisoned the well of understanding about what humans and other animals do when they … think… which I continue to maintain is “not all that special”.

….. more on this later over at Technology Report …..