is intrinsically motivated . . .

     As a young child I remember walking in a wooded area with my Dad.

     He yelled, “Stop! There’s a snake in front of you!”

     I saw only twigs. (This is an age-old problem.) Why couldn’t I see the snake? Since then, I have been keenly aware that what you see is not always what others see. Since then, there has been a lingering question how do we make sense of what we do see. How do we know what’s a twig and what’s a snake?

     Imagine now a computer that could do that, a computer that can “see” snakes from twigs, cancer cells from healthy ones, functioning genes from damaged ones.

     Studying the works of Minsky and Goffman in the area of frame analysis, I reasoned that what we see and what we make of what we see depend on the frames we use. I was fascinated to learn that Minsky’s work in frame systems has been used in computer vision. We can teach computers to see a snake from a twig! I am fascinated how Goffman, studying cognition, developed his frame construct. Goffman frames extend Minsky frames, but have yet to be formalized into a mathematical system useful to Computer Science. I see that as an invitation.