The talk is presenting what could be an Integrative Logistics, as a new integrative and predictive science,
in the framework of the CS-DC TIMES flagship. This flagship aims at creating a global e-ecosystem to give
the same equality of chance for any territory to become a "smart" territory by using a global market for
open responsible innovations linked to the global scientific and technological revolution.
This global e-ecosystem is using the 2nd internet revolution for sharing in a trustable way the big data
including the ones tracing the current logistic activities between territories at all levels.
The main challenge of Integrative Logistics is, through dynamical deep learning, to bring multilevel
logistic models toward a "smart" multilevel logistics. Such goal has to involve all of
these - scientists of any discipline or experts from territorial governments, NGOs, firms, start-ups
as well as ordinary citizens - wanting to jointly increase social wellbeing, improve the relationship
with Nature and to change the relations between science, engineering, politics and ethics.
Paul Bourgine is President of the Complex Systems Digital Campus (CS-DC), honorary director of RNSC
(the French National Network of Complex Systems) and former director of CREA-Ecole Polytechnique.
Diploma of Ecole Polytechnique (1968), PhD in Economics (1983), habilitation in cognitive science (1989).
First president of the Complex Systems Society. Chair of the first European Conference on
Complex Systems (2005) and World e-Conference CS-DC'15 (2015). Co-chair of the first following
international conferences: Economics and Artificial Intelligence (1986), European Conference on
Artificial Life (1990), Cognitive Economics (2004), Morphogenesis in Living Systems (2009).
Oscillatory networks have been one of the most used paradigms in order to mimic
repetitive dynamical processes taking place in complex systems. The leading feature of
oscillatory networks is the emergence of synchronized oscillations among their elements,
i.e. it is observed that quite a lot of oscillators tune their rhythms so that numerous
groups of them exhibit highly correlated behavior. From a mathematical point of view,
the emergence of such coordinated behavior corresponds to the existence of global periodic
oscillations, that can arise, for example, through Hopf bifurcations. Understanding how the
interactions among the oscillators influence the appearance of properties such as global
oscillations may be crucial in order to characterize complex dynamics in oscillatory networks.
Moreover, it is well known in literature that in case of multistability in a single element
of the network, new equilibrium configurations arise due to the coupling. In this work,
we consider directed acyclic networks of bistable units and we investigate the coupling effects
on the Hopf bifurcations occurrence and on the number of equilibria of the entire network.
(joint work with N. Corson and N. Verdiere)
11:00 - Marc Barthelemy (Institut de Physique Theorique, CEA-IPhT, CNRS URA 2306, Gif-sur-Yvette, France)
Always more data about cities are available which allows to build and to test theories and models.
In particular, many urban economics models were developed to describe how cities are organized and
I will discuss here their predictions about urban mobility. I will illustrate on various examples
such as the total commuting length in cities, or the variation of the commuting length with income,
how empirical data force us to reconsider these models in order to reach conclusions that are in
agreement with empirical observations.
Marc Barthelemy is a former student of the Ecole Normale Superieure of Paris and graduated in 1992
at the University of Paris VI with a thesis in theoretical physics titled "Random walks in random media".
Since 1992, he has held a permanent position at the CEA (Paris) and since 2009 is a senior researcher
at the Institute of Theoretical Physics (IPhT) in Saclay and a member of the Center of Social Analysis
and Mathematics (CAMS) at the Ecole des Hautes Etudes en Sciences Sociales (EHESS). His interests moved
towards applications of statistical physics to complex systems, and focusing on both data analysis and
modeling, Marc Barthelemy is currently working on various aspects of the emerging science of cities.
We consider a graph wave equation with a cubic defocusing non-linearity on a general network.
This well-posed model is close to the $\phi^4$ model in condensed matter physics.
Using the normal modes of the graph Laplacian as a basis, we derive amplitude equations
and define resonance conditions that relate the graph structure to the dynamics.
Imene Khames is a doctoral student at the Laboratoire de Mathematiques de l'INSA de Rouen.
She did her batchelor in Oran (Algeria) and her Master in Mathematics at the University of Nice.
11:50 - M.A. Aziz-Alaoui, C. Bertelle & J. Zhao (LMAH, LITIS, Normandie Univ, UNIHAVRE,
France & Hunan University of Commerce, China )
Cluster synchronization is an interesting issue in complex dynamical networks with community structure.
We study this phenomenon, in which individuals in the same cluster are identical, while those in different
clusters are not. Some sufficient conditions that ensure cluster synchronization of complex networks are
provided. The increase of coupling strength inside clusters is very useful to achieve cluster synchronization,
however, the coupling among different clusters is an obstacle.