Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
We present a new method for taking advantage of the relative independence between parts of a single-player game. We describe an implementation for improving the search in a solitai...
Case-based reasoning (CBR) aims at using experience from the past in order to guide future problem solving rather than “starting from scratch” every time. We propose a CBR stra...
With the development of networking technologies and the advent of the peer-to-peer computing paradigm, distributed file-sharing systems like Gnutella are becoming prevalent over t...
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...