We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
New technologies used in biology are generating huge quantities of data; up to two petabytes of overall data are to be expected by the end of the decade. Modern biology also has t...
Object-oriented frameworks are a popular mechanism for building and evolving large applications and software product lines. This paper describes an alternative approach to softwar...
A new method for the simplification of flow fields is presented. It is based on continuous clustering. A well-known physical clustering model, the Cahn Hillard model which desc...
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...