French Roadmap for complex Systems 2008-2009

This second issue of the French Complex Systems Roadmap is the outcome of the Entretiens de Cargese 2008, an interdisciplinary brainstorming session organized over one week in 2008, jointly by RNSC, ISC-PIF and IXXI. It capitalizes on the first roadmap and gathers contributions of more than 70 scientists from major French institutions. The aim of this roadmap is to foster the coordination of the complex systems community on focused topics and questions, as well as to present contributions and challenges in the complex systems sciences and complexity science to the public, political and industrial spheres

Percolation, Pretopology and Complex Systems Modeling

A complex system is generally regarded as being a network of elements in mutual interactions, which total behavior cannot be deduced from that of its parts and their properties. Thus, the study of a complex phenomenon requires a holistic approach considering the system in its totality. The aim of our approach is the design of a unifying theoretical framework to define complex systems according to their common properties and to tackle their modeling by generalizing percolation processes using pretopology theory

Optimizing Mobile Networks Connectivity and Routing Using Percolation Theory and Epidemic Algorithms

International audienc

Percolation, Pretopology and Complex Systems Modeling

A complex system is generally regarded as being a network of elements in mutual interactions, which total behavior cannot be deduced from that of its parts and their properties. Thus, the study of a complex phenomenon requires a holistic approach considering the system in its totality. The aim of our approach is the design of a unifying theoretical framework to define complex systems according to their common properties and to tackle their modeling by generalizing percolation processes using pretopology theory

Stochastic pretopology as a tool for complex networks analysis

We are proposing in this work a novel approach for complex network analysis by introducing Stochastic Pretopology, a result of the combination of Pretopology theory and Random Sets. We firstly show how pretopology generalizes the graph theory to deal with complex interactions in complex networks. By connecting with random set theory, we then give the definition of stochastic pretopology and also propose the ways to build this kind of pretopology in many situations. That is to say how proximity with randomness can be delivered to model complex neighbourhoods formation in complex networks. In addition, we also show how stochastic pretopology can be applied for modelling dynamic processes on complex networks by representing classical information diffusion models under stochastic pretopology language and then proposing Pretopology Cascade Model as a general model for information diffusion process that can take place in more complex networks such as multi-relational networks or stochastic graphs

Creating Semantic Networks Using Semantic Spaces

International audienc

Quasipseudometric spaces and topological properties

International audienc

A Stochastic and Pretopological Modeling Aerial Pollution of an Urban Area

International audienc

Un modèle prétopologique stochastique pour la simulation de la pollution aérienne

International audienc

Optimisation de Smart Grid: d'un modèle intégratif vers une simulation multi-agents autonomique

International audienceL'optimisation multi-critères des réseaux élec- triques devient un enjeu mondial face aux pro- blèmes de pollution, de partage équitable, et de gestion automatique pour ne citer qu'eux. Dans le cadre du projet interdisciplinaire EPIT 2.0, nous proposons une modélisation multi-agents intégrative de Smart Grid pour répondre aux besoins de simulation, d'analyse et d'optimisation de tels systèmes