Challenge me. Select a dataset send me the training data and I'll send you my results so you can verify it... I don't mind being tested.
You can tell us your results with KDD data sets: http://kdd.ics.uci.edu/
He says in some other comment:
"I've tested it on the data from the KDD 2006 cup a contest in the KDD conference whose goal was to identify Pulmonary Embolism based on data generated from CT scans and it out scored the cup winners by a 50% margin."
Investing. Look to Machine Insight in Cambridge, and the work they've done. They're trying to train an AI system to be Warren Buffet in a box. You don't hear much about this trend, because people are making way too much money to talk about it openly. I'll put it this way: if you can consistently beat the market by a few percentage points, you can be a billionaire.
>...people are making way too much money to talk about it openly. Or maybe people are _wasting_ way too much money to talk about it openly.
Do you have any information at all to base your comment on?
License it to game dev companies to provide better opponent AI.
I have no idea how game AIs work, I thought most of it was totally scripted to just appear intelligent. I'll need to research the field a bit.
Some is scripted. They do a variety of other things too. For example, path finding gets its own algorithm. And they have algorithms for getting multiple guys to move around in formation. Sometimes there is some type of system with goals (get 1000 wood, get an 80 food army, kill X base, etc) and then it picks things to achieve those goals (build more wood harvesters, build more units, attack). sometimes they use "learning" algorithms where they tweak parameters by running the AI repeatedly and seeing which does better, and they can use games with a human player to do that too (if it wins too badly, have it aim less precisely). And lots of other one-off things.
Who are you? Maybe you can't speak a lot about your discovering, but you can at least tell what your name is and how you got to this?
My name is Avi Marcus, I am a 29 year old, semi retired (sold my previous startup ) hacker from Israel.
Started programming at 8, started CS in college when I was 13. Flunked out because I was bored at 15.
Always been interested in artificial intelligence, but a year and a half ago I read a book on the way the human brain works and suddenly I had a vision of something programmers missed in all of the machine learning algorithms they built, which is a basic part of the human cognitive process, and I suddenly understood how to add it to existing algorithms.
I have no idea how game AIs work, I thought most of it was totally scripted to just appear intelligent. I'll need to research the field a bit.
Some is scripted. They do a variety of other things too. For example, path finding gets its own algorithm. And they have algorithms for getting multiple guys to move around in formation. Sometimes there is some type of system with goals (get 1000 wood, get an 80 food army, kill X base, etc) and then it picks things to achieve those goals (build more wood harvesters, build more units, attack). sometimes they use "lear…
My algorithm won't replace A* as a path finding algorithm, and it wasn't designed to do swarming ( although maybe I can adapt it to swarming ). And as far as I know most of the rest is totally scripted... Again not exactly my field so I need to read up on it before I can rule it out.
Can you give any specific examples (references to academic papers) you've already tested it on and shown an improvement - no need to give details if you don't feel you can, but it would be interesting to know which tests you've done and against which existing algorithms.