We study the evolution of robustness in digital organisms adapting to a high mutation rate. As genomes adjust to the harsh mutational environment, the mean effect of single mutatio...
We evolved multiple clones of populations of digital organisms to study the effects of chance, history, and adaptation in evolution. We show that clones adapted to a specific envir...
This paper contributes a general approach to characterizing patterns of change in a spatio-temporal database. While there is a particular interest in modelling and querying how sp...
Nassima Djafri, Alvaro A. A. Fernandes, Norman W. ...
We examine the qualitative dynamics of a catalytic self-organizing reaction system of binary strings that is inspired by the chemical information processing metaphor. A string is ...
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...