Veronica Chelu

In 1993, it was looking like the internet was actually going to be a thing, so I made a homepage for myself. This is what I wrote for my personal statement: "I am seeking to identify general computational principles underlying what we mean by intelligence and goal-directed behavior. I start with the _interaction_ between the intelligent agent and its environment. Goals, choices, and sources of information are all defined in terms of this interaction. In some sense it is the only thing that is real, and from it all our sense of the world is created. How is this done? How can interaction lead to better behavior, better perception, better models of the world? What are the computational issues in doing this efficiently and in realtime? These are the sort of questions that I ask in trying to understand what it means to be intelligent, to predict and influence the world, to learn, perceive, act, and think." The point being that is was always all about experience for me.

Rich's slogans for AI research (revised 2006): 1. Approximate the solution, not the problem (no special cases) 2. Drive from the problem 3. Take the agent’s point of view 4. Don’t ask the agent to achieve what it can’t measure 5. Don't ask the agent to know what it can't verify 6. Set measurable goals for subparts of the agent 7. Discriminative models are usually better than generative models 8. Work by orthogonal dimensions. Work issue by issue 9. Work on ideas, not software 10. Experience is the data of AI incompleteideas.net/rlai.cs.…