artificial-intelligence

Genetic algorithms (GA) and genetic programming (GP) are interesting areas of research. I'd like to know about specific problems you have solved using GA/GP and what libraries/frameworks you used if you didn't roll your own. Questions: What problems have you used GA/GP to solve? What libraries/frameworks did you use? I'm looking for first-hand experiences, so please do not answer unless you have that. Not homework. My first job as a professional programmer (1995) was writing a genetic-algorithm based automated trading system for S&P500 futures. The application was written in Visual Basic 3 [!]

Battleship! Back in 2003 (when I was 17), I competed in a Battleship AI coding competition. Even though I lost that tournament, I had a lot of fun and learned a lot from it. Now, I would like to resurrect this competition, in the search of the best battleship AI. Here is the framework, now hosted on Bitbucket . The winner will be awarded +450 reputation! The competition will be held starting on the 17th of November, 2009 . No entries or edits later than zero-hour on the 17th will be accepted. (Central Standard Time) Submit your entries early, so you don't miss your opportunity! To keep this

I need some help with a prolog homework for my AI class. The question is to write prolog code for einstein's puzzle. I know how to write it down in my own but there are some constraints in the homework. there are 5 houses the Englishman lives in the red house the Spaniard owns the dog coffee is drunk in the green house the Ukrainian drinks tea the green house is immediately to the right of the ivory house the Old Gold smoker owns snails Kools are smoked in the yellow house milk is drunk in the middle house the Norwegian lives in the first house the man who smokes Chesterelds lives in the house

Could you give an example of classification of 4 classes using Support Vector Machines (SVM) in matlab something like: atribute_1 atribute_2 atribute_3 atribute_4 class 1 2 3 4 0 1 2 3 5 0 0 2 6 4 1 0 3 3 8 1 7 2 6 4 2 9 1 7 10 3 MATLAB does not support multiclass SVM at the moment. You could use svmtrain (2-classes) to achieve this, but it would be much easier to use a standard SVM package. I have used LIBSVM and can confirm that it's very easy to use. %%# Your data D = [ 1 2 3 4 0 1 2 3 5 0 0 2 6 4 1 0 3 3 8 1 7 2 6 4 2 9 1 7 10 3]; %%# For clarity Attributes = D(:,1:4); Classes = D(:,5);

I have a image with horizontal and vertical lines. In fact, this image is the BBC website converted to horizontal and vertical lines. My problem is that I want to be able to find all the rectangles in the image. I want to write a computer program to find all the rectangles. Does anyone know how to do this or suggest ideas on how to get started? This task is easy for me as a person to find the visual rectangles, but I am not sure how to describe it as a program. Image is the BBC website here http://www.bbc.co.uk/ Update to this, I wrote the code which converts the BBC website image to the

I have a large set of vectors in 3 dimensions. I need to cluster these based on Euclidean distance such that all the vectors in any particular cluster have a Euclidean distance between each other less than a threshold "T". I do not know how many clusters exist. At the end, there may be individual vectors existing that are not part of any cluster because its euclidean distance is not less than "T" with any of the vectors in the space. What existing algorithms / approach should be used here? You can use hierarchical clustering . It is a rather basic approach, so there are lots of implementations