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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)
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)
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)
The social context of an agent can have a profound influence upon their decisions and actions, where their attitudes and ideologies frequently change the interpretation given to a specific body of knowledge. However, attitudes and ideologies themselves result from groups of agents as they communicate and respond to information. This paper proposes a(More)
We utilise the well-developed quantum decision models known to the QI community to create a higher order social decision making model. A simple Agent Based Model (ABM) of a society of agents with changing attitudes towards a social issue is presented, where the private attitudes of individuals in the system are represented using a geometric structure(More)
Shifting the emphasis from a model to a modelling task, which involves both a computer model and a modeller, we ask what makes a problem complex. We propose that a modelling task can be seen as a set of questions-and-answers, nested at multiple levels. The role of the modeller then lies in posing the questions and choosing the best procedure to answer them,(More)
Quantum-like models can be fruitfully used to model attitude change in a social context. Next steps require data, and higher dimensional models. Here, we discuss an exploratory study that demonstrates an order effect when three question sets about Climate Beliefs, Political Affiliation and Attitudes Towards Science are presented in different orders within a(More)
We present an approach for analysing weighted networks based on maximum flows between nodes and generalize to weighted networks 'global' measures that are well-established for binary networks, such as pathlengths, component size or betweenness centrality. This leads to a generalization of the algorithm of Girvan and Newman for community identification. The(More)