Learn More
Complex Systems Science aims to understand concepts like complexity, self-organization, emergence and adaptation, among others. The inherent fuzziness in complex systems definitions is complicated by the unclear relation among these central processes: does self-organisation emerge or does it set the preconditions for emergence? Does complexity arise by(More)
The use of genetic algorithms in geophysical inverse problems is a relatively recent development and offers many advantages in dealing with the nonlinearity inherent in such applications. However, in their application to specific problems, as with all algorithms, problems of implementation arise. After extensive numerical tests, we implemented a genetic(More)
Emergence is seen as the most significant feature discriminating " complex " from " non complex " systems. Nevertheless, no standard definition of emergence is currently available in the literature. This lack of a shared view affects the development of tools to detect and model emergence for both scientific and engineering applications. Here we review some(More)
Complex Systems Science aims to understand concepts like complexity, self-organization, emergence and adaptation, among others. The inherent fuzziness in complex systems definitions is complicated by the unclear relation among these central processes: does self-organisation emerge or does it set the preconditions for emergence? Does complexity arise by(More)
A new algorithm is proposed for the automatic picking of seismic first arrivals that detects the presence of a signal by analyzing the variation in fractal dimension along the trace. The " divider-method " is found to be the most suitable method for calculating the fractal dimension. A change in dimension is found to occur close to the transition from noise(More)
Dr Fabio Boschetti describes himself as an applied mathematician. For many years his work focused on geoscientific applications. More recently he started to be interested in Complex System Science and to apply his past experience to ecological modelling with a view to improve our understanding of how ecosystems and their interaction with human activities(More)
We use an Interactive Genetic Algorithm to optimise the input parameters controlling the behaviour of a Cellular Automata. We aim to deduce which combination of parameters allow the CA to reproduce patters seen in geological scenarios as a result of fluid flow and chemical reaction in fractured media. Via the Interactive Genetic Algorithm the user can(More)
The Green's function of the Poisson equation, and its spatial derivatives, lead to a family of wavelets specifically tailored to potential fields. Upward continuation of the field is seen to be identical to these wavelets' scale change operation. The maxima at all heights of the field's horizontal gradients are termed the field's multiscale edges. A(More)
We propose a set of criteria which are based upon spatial relations between geological structures, in order to develop a measure of similarity between geological sections. By giving different weights to the criteria, the technique can be tuned to different geological problems. The weights are determined automatically when a user ranks sets of test images,(More)
" I am convinced that natural selection has been the most important, but not the exclusive, means of modification. " Charles Darwin SUMMARY This paper reviews the seven " visions " of evolution proposed by Depew and Weber (1995), concluding that each possible relationship between natural selection and self-organization may have suited different aims and(More)