Cyrille Bertelle
Université du Havre, LITIS, Faculty Member
Communication devices (mobile networks, social media platforms) are produced digital traces for their users either voluntarily or not. This type of collective data can give powerful indications on their effect on urban systems design and... more
Communication devices (mobile networks, social media platforms) are produced digital traces for their users either voluntarily or not. This type of collective data can give powerful indications on their effect on urban systems design and development. For understanding the collective human behavior of urban city, the modeling techniques could be used. In this study the most important feature of human mobility is considered, which is the radius of gyration . This parameter is used to measure how (far /frequent) the individuals are shift inside specific observed region.
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In this study, the mobile phone traces concern an ephemeral event which represents important densities of people. This research aims to study city pulse and human mobility evolution that would be arise during specific event (Armada... more
In this study, the mobile phone traces concern an ephemeral event which represents important densities of people. This research aims to study city pulse and human mobility evolution that would be arise during specific event (Armada festival), by modelling and simulating human mobility of the observed region, depending on CDRs (Call Detail Records) data. The most pivot questions of this research are: Why human mobility studied? What are the human life patterns in the observed region inside Rouen city during Armada festival? How life patterns and individuals' mobility could be extracted for this region from mobile DB (CDRs)? The radius of gyration parameter has been applied to elaborate human life patterns with regards to (work, off) days for the observed data.
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Le pari de la pluridisciplinarité voire de la transdisciplinarité conduit parfois à des défis qu’il est difficile de relever. Le dialogue entre les différentes disciplines peut être compliqué, du fait de culture et références différentes,... more
Le pari de la pluridisciplinarité voire de la transdisciplinarité conduit parfois à des défis qu’il est difficile de relever. Le dialogue entre les différentes disciplines peut être compliqué, du fait de culture et références différentes, conduisant parfois à des pratiques et des usages qui peuvent sembler s’opposer. La ligne de séparation entre les sciences dites exactes et les sciences humaines prend, pour une fois, tout son sens quand on considère la place de l’observateur. Les chercheurs ..
Research Interests: Geography, Humanities, Soc, Anthropologie, Ethnologie, and 6 moreTechnique, Anthropology and Sociology, Corps, ÉVolution, Jhm, and Vivant
On Figure 1, we describe a two-level model of spatial self-organizations with<br> interactions in both directions between these two levels: the emergence of organizations<br> from entities interactions but also the feed-back... more
On Figure 1, we describe a two-level model of spatial self-organizations with<br> interactions in both directions between these two levels: the emergence of organizations<br> from entities interactions but also the feed-back process describing<br> how organizations are regulating their own entities.
The applications we focus on in the models that we will propose in the<br> following, concerns specifically the multi-center (or multi-organizational) phenomona<br> inside urban development. As an artificial ecosystem, the... more
The applications we focus on in the models that we will propose in the<br> following, concerns specifically the multi-center (or multi-organizational) phenomona<br> inside urban development. As an artificial ecosystem, the city development<br> has to deal with many challenges, specifically for sustainable development,<br> mixing economical, social and environmental aspects. The decentralized<br> methodology proposed in the following allows to deal with multi-criteria problems,<br> leading to propose a decision making assistance, based on simulation<br> analysis.
Social and human developments are typical complex systems. Urban development<br> and dynamics are the perfect illustration of systems where spatial<br> emergence, self-organization and structural interaction between the... more
Social and human developments are typical complex systems. Urban development<br> and dynamics are the perfect illustration of systems where spatial<br> emergence, self-organization and structural interaction between the system<br> and its components occur [3, 4, 5, 6]. In figure 4, we concentrate on the emergence<br> of organizational systems from geographical systems.
Summary. In this paper, we deal with some specific domains of applications to game theory. This is one of the major class of models in the new approaches of modelling in the economic domain. For that, we use genetic automata which allow... more
Summary. In this paper, we deal with some specific domains of applications to game theory. This is one of the major class of models in the new approaches of modelling in the economic domain. For that, we use genetic automata which allow to buid adaptive strategies for the players. We explain how the automata-based formalism proposed- matrix representation of automata with multiplicities- allows to define a semi-distance between the strategy behaviors. With that tools, we are able to generate an automatic processus to compute emergent systems of entities whose behaviors are represented by these genetic automata. Key words: adaptive behavior, game theory, genetic automata, prisoner dilemma, emergent systems computing
generalized derangement, Schelling’s model This paper proposes a definition of Schelling’s model of segregation using generalized derangements. Many of urban or territorial modellings are based on decentralized approaches where rule-based... more
generalized derangement, Schelling’s model This paper proposes a definition of Schelling’s model of segregation using generalized derangements. Many of urban or territorial modellings are based on decentralized approaches where rule-based systems have to be integrated inside a whole interaction system to describe complex phenomena. The goal of these decentralized modellings is to deal with emergent computing able to detect dynamically emergent organizations in an unsupervized way, thanks to complex systems theory. The convergence of these modern computings is generally hard to study because of the use of asynchronised processes dealing with a number of autonomous entities which are acting and interacting, in non linear way, during the whole simulation. Our approach is to define a non sequential-dependant algorithm, thanks to generalized derangements, and so to use this efficient tool to study some properties on the evolutive process.
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Abstract. This paper proposes a conceptual approach to study conceptual links in complex systems between dynamics, structure and control. Studies cases are presented and are developed, using a java library on dynamical graphs called... more
Abstract. This paper proposes a conceptual approach to study conceptual links in complex systems between dynamics, structure and control. Studies cases are presented and are developed, using a java library on dynamical graphs called GraphStream.
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In this study, we are interested in the study of urban mobility from traces of mobile data that were provided by the operator Orange. The data provided relate to the region of the city of Rouen, during an ephemeral event that is the... more
In this study, we are interested in the study of urban mobility from traces of mobile data that were provided by the operator Orange. The data provided relate to the region of the city of Rouen, during an ephemeral event that is the Armada of 2008. In a first study, a large amount of data is managed to extract characteristics allowing to qualify the uses of the city during ephemeral events, depending on the days of activity of the individuals. Visualizations are given and make it possible to understand the mobilities generated in a specific way during the event. In the second part, we study the reconstruction of trajectories with aggregated approaches inspired by statistical physics techniques in order to reveal behaviors according to periods of activity and a spatial division in large urban areas. In order to obtain the general mobility law by observing distributions in power law characteristic for the studied complex system.
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... Pierrick Tranouez - Sylvain Lerebourg - Cyrille Bertelle - Damien Olivier Laboratoire d&#x27;Informatique du Havre Faculté des sciences et techniques Université du Havre 25 ... Von Neumann J.and A.Burks., Eds., Theory of... more
... Pierrick Tranouez - Sylvain Lerebourg - Cyrille Bertelle - Damien Olivier Laboratoire d&#x27;Informatique du Havre Faculté des sciences et techniques Université du Havre 25 ... Von Neumann J.and A.Burks., Eds., Theory of Self-Reproduction Automata, University of Illinois Press, 1966 ...
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Self-organization is common in natural systems. This tutorial describes some of these systems, specifically from insect societies like in bees, termites or ant colonies. In a first part, a modeling process is explained. Objects and... more
Self-organization is common in natural systems. This tutorial describes some of these systems, specifically from insect societies like in bees, termites or ant colonies. In a first part, a modeling process is explained. Objects and phenomena targeted by these methods are presented. Natural or social complex systems are the context of these objects and phenomena. Basic algorithms presented for example in [8] are given. These algorithms belongs to the class of swarm intelligence methods describing how a network of interacting entities can lead to emergent properties of the whole system. In a second part, more original applications are presented, based on extensions of these basic algorithms in order to model ecosystems, urban dynamics or to propose a decentralized method to distribute simulations over dynamical communication graphs
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HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad,... more
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et a ̀ la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
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Abstract: In a previous paper (14), some of the authors dealt with the use of au-tomata with (various type of) multiplicities for modelizing agents with rational be-haviour and how one could perform genetic operations on them. In this... more
Abstract: In a previous paper (14), some of the authors dealt with the use of au-tomata with (various type of) multiplicities for modelizing agents with rational be-haviour and how one could perform genetic operations on them. In this paper, we emphasize the role played by shift operators to identify automata with similar be-haviour.
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Recent events have shown that our agglomerations are vulnerable in front of emergency situations. There are a lot of factors to consider and one of them is the structure of towns generated by road networks. One way to study these... more
Recent events have shown that our agglomerations are vulnerable in front of emergency situations. There are a lot of factors to consider and one of them is the structure of towns generated by road networks. One way to study these structures is to modelize the networks by graphs and to use the theory developed on them. Recently, some works have studied the detection of communities in large graphs. A community in a graph is a set of connected nodes strongly connected to each other and less connected to nodes from other communities. The aim of detection is to identify communities according to a predefined criteria but without specifying the number of communities and the size of communites. The known algorithms find communities but without taking into account the time. We propose a dynamic algorithm of communities detection and we explain how it can be applied on Le Havre agglomeration, for example, to estimate the vulnerability related to the road network use by vehicles. 1
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Le travail presente ici a pour cadre la prevention des risques et la gestion de crises necessitant une evacuation. La structure du reseau viaire est etudiee mais egalement les processus de mobilite qui s'y developpent. Nous utilisons... more
Le travail presente ici a pour cadre la prevention des risques et la gestion de crises necessitant une evacuation. La structure du reseau viaire est etudiee mais egalement les processus de mobilite qui s'y developpent. Nous utilisons en particulier des techniques d'intelligence en essaim pour etudier la morphodynamique du reseau. La prevention des risques est consideree en analysant la vulnerabilite du reseau represente par un multigraphe. Sa structure est etudiee a differents niveaux d'echelle, par des methodes de calcul de la centralite d'intermediarite et de clustering hierarchique. La gestion de crise lors d'une evacuation a aussi ete traitee et a conduit a l'etude de la dynamique des deplacements au sein du reseau routier et a un traitement et une analyse multi-echelle. Nous avons developpe un modele microscopique de trafic ainsi qu'un modele de microevacuation permettant d'organiser une evacuation depuis l'occurrence de la crise jusqu'a ...
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Self-organization is common in natural systems. This tutorial describes some of these systems, speci¯cally from insect societies like in bees, termites or ant colonies. In a first part, a modeling process is explained. Objects and... more
Self-organization is common in natural systems. This tutorial describes some of these systems, speci¯cally from insect societies like in bees, termites or ant colonies. In a first part, a modeling process is explained. Objects and phenomena targeted by these methods are presented. Natural or social complex systems are the context of these objects and phenomena. Basic algorithms presented for example in [8] are given. These algorithms belongs to the class of swarm intelligence methods describing how a network of interacting entities can lead to emergent properties of the whole system. In a second part, more original applications are presented, based on extensions of these basic algorithms in order to model ecosystems, urban dynamics or to propose a decentralized method to distribute simulations over dynamical communication graphs.
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Nous etudions la propagation d’une perturbation dans un reseau d’interaction forme par un systeme multi-agent. Ce reseau est represente par un graphe ou les agents sont les noeuds et les interactions sont les arcs diriges. La perturbation... more
Nous etudions la propagation d’une perturbation dans un reseau d’interaction forme par un systeme multi-agent. Ce reseau est represente par un graphe ou les agents sont les noeuds et les interactions sont les arcs diriges. La perturbation consideree ici est celle de l’etat interne de l’agent qui est reduit a une variable reelle dependant du temps. Cet etat peut etre "stable" ou "perturbe" selon la nature dynamique de cette variable. Nous supposons que le reseau d’interaction possede initialement un agent perturbe qui est une serie temporelle chaotique. Notre objectif consiste a detecter l’ensemble des agents qui deviennent perturbes suite a l’interaction dans le reseau. Nous cherchons egalement a identifier la source de la perturbation dans le graphe a partir des series temporelles des agents. Nous proposons alors un algorithme permettant de remonter a la source depuis un agent quelconque impacte par la perturbation. Nous presentons dans cet article les resultats...
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Urban Dynamics modeling needs to implement spatial organization emergence in order to describe the development of services evolution and their usage within spatial centers. In this paper, we propose an extension of the nest building... more
Urban Dynamics modeling needs to implement spatial organization emergence in order to describe the development of services evolution and their usage within spatial centers. In this paper, we propose an extension of the nest building algorithm with multi-center, multi-criteria and adaptive processes. We combine a decentralized approach based on emergent clustering mixed with spatial constraints or attractions. Typically, this model is suitable to analyse and simulate urban dynamics like the evolution of cultural equipment in urban area.
This paper presents the use of automata with multiplicities for the modelization of agent behaviours. Genetic algorithms can be defined on their probabilistic forms and are able to simulate adaptive behaviours. An application to a... more
This paper presents the use of automata with multiplicities for the modelization of agent behaviours. Genetic algorithms can be defined on their probabilistic forms and are able to simulate adaptive behaviours. An application to a simulation of evolutive strategies in game theory is presented, specifically for the prisoner dilemma which is considered as a basic model of dynamic agents interactions in terms of cooperation and competition.
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The main objective of the Search Engine Optimization is to understand the user's query / user's intent. Our goal is to provide the optimal result for each user's query in order to adapt the content to user profile. To overcome... more
The main objective of the Search Engine Optimization is to understand the user's query / user's intent. Our goal is to provide the optimal result for each user's query in order to adapt the content to user profile. To overcome this challenge involves first, to understanding the search intentions of internet user's and paramount to the search engines and in the second way, to understand the traffic behavior for each user. This can be accomplished by defining the type of content to be produced in order to maximize your chances of positioning yourself, and the use of the traces user's, which include chronology of interactions and productions left by the user during his navigation process. In this paper we present our approach in the field of Search Engine Optimization based on Dynamic Case-Based Reasoning (DCBR). In our approach, we focus on the detection and understanding of the user's intent that motivate a user to search on the web. The analysis of the histor...
Spatial self-organizations appear in many natural and artificial systems. Spatial systems creation and development, called morphogenesis, is the subject of many research studies since many years (2). Fractal computation approach is, for... more
Spatial self-organizations appear in many natural and artificial systems. Spatial systems creation and development, called morphogenesis, is the subject of many research studies since many years (2). Fractal computation approach is, for exemple, one of the methods proposed to deal with such studies. But, even if this method is able to describe unlimited local formations on multi-scale descriptions, the formation process itself is described in a global way. The goal of this paper is to introduce the distributed and decentralized computing as a general methodology to propose emergent spatial formation, able to deal with local perturbations and with non homegeneous formation rules. Both multi-criteria and multi-center systems modelling are available in the simulation processes proposed here, based on two study cases. The first study case deals with interacting population over an environment based on a regular grid. The second study case deals with intelligent swarms over an environment...
Decision support system for road traffic management can be used for freight transport, people transport but also for site evacuation. We deal with two aspects of the decision support system in a same global architecture: one for traffic... more
Decision support system for road traffic management can be used for freight transport, people transport but also for site evacuation. We deal with two aspects of the decision support system in a same global architecture: one for traffic regulation to avoid jam and the other for road users to choose the shortest path in time between two points. These two aspects interact. The cartography is represented by a weighted digraph. The weights evolve according to the traffic and the graph is therefore dynamic. The regulation system is based on a neural network. The shortest path is based on an ant algorithm well suited for dynamic environments. GLOBAL ARCHITECTURE FOR ROAD TRAFFIC MANAGEMENT The transport development must face up to many constraints like: substructures realization and expansion limitation due to the available space and the costs, reduction of the loud and atmospheric pollution, deregulation and concurrency between the mode of transport and so on. So, it is necessary to find...
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The modeling of logistic system is a major issue of logistic research. Several researches use data about flow of goods to extrapolate the evolution of logistic systems, but these data might be difficult to acquire. We propose a complex... more
The modeling of logistic system is a major issue of logistic research. Several researches use data about flow of goods to extrapolate the evolution of logistic systems, but these data might be difficult to acquire. We propose a complex system approach with agents and dynamic graphs to model logistic systems. It allows us to describe the local properties and functional rules of these organizations in order to observe the evolution of such a system in a dynamic context and with minimal initial data. This paper is the occasion to present the emergence of the best strategies used by logistics service providers to restock the warehouses and their customers. It shows how the mechanisms of our model allow the agents to react to disturbing events and to update their behaviors in order to stay efficient.
Abstract. This paper proposes a bottom-up approach tomodel spa-tial systems for urban dynamic and territorial management. Such ap-proaches calledmicro-modelling have startedwiththeuse o f cellularautomata where local rules are dened and... more
Abstract. This paper proposes a bottom-up approach tomodel spa-tial systems for urban dynamic and territorial management. Such ap-proaches calledmicro-modelling have startedwiththeuse o f cellularautomata where local rules are dened and allow to implement somesimulations, describing mainly dynamical diffusion proce sses overspatial grids. Our purpose istodeal withthe detection of so me emer-gent organizations during the simulation, using an implici t control,based on the use of genetic automata population. This automa ta pop-ulation evolves by a swarm co-evolution, optimizing a tnes s func-tion which leads to an automatic emergence of dynamic commun i-ties. 1 SPATIAL SYSTEMEMERGENCEMODELLING1.1 From Top-down to Bottom-up approches Spatial systems modelling for urban dynamic or territorial man-agement has been developped since few decades and can beclassify in two main categories [2]. The rst one is based on m acro-modellingcorresponding toatop-down approach andtheseco nd oneisbasedo...
The following is intended to be a contribution in the area of what could be called efficient algebraic structures or efficient data structures. In fact, we define and construct a new data structure, the tables, which are special kinds of... more
The following is intended to be a contribution in the area of what could be called efficient algebraic structures or efficient data structures. In fact, we define and construct a new data structure, the tables, which are special kinds of two-raws arrays. The first raw is filled with words and the second with some coefficients. This structure generalizes the (finite) k-sets sets of Eilenberg [6], it is versatile (one can vary the letters, the words and the coefficients), easily implemented and fast computable. Varying the scalars and the operations on them, one can obtain many different structures and, among them, semirings. Examples will be provided and worked out in full detail. Here, we present a new semiring (with several semiring structures) which can be applied to the needs of automatic processing multiagents behaviour problems. The purpose of this account/paper is to present also the basic elements of this new structures from a combinatorial point of view. These structures pre...
A “complex system” is in general any system comprised of a great number of heterogeneous entities, among which local interactions create multiple levels of collective structure and organization. Examples include natural systems ranging... more
A “complex system” is in general any system comprised of a great number of heterogeneous entities, among which local interactions create multiple levels of collective structure and organization. Examples include natural systems ranging from bio-molecules and living cells to human social systems and the ecosphere, as well as sophisticated artificial systems such as the Internet, power grid or any large-scale distributed software system. A unique feature of complex systems, generally overlooked by traditional science, is the emergence of non-trivial superstructures which often dominate the system's behaviour and cannot be easily traced back to the properties of the constituent entities. Not only do higher emergent features of complex systems arise from lower-level interactions, but the global patterns that they create affect in turn these lower levels — a feedback loop sometimes called immergence. In many cases, complex systems possess striking properties of robustness against var...
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LIPN - University of Paris XIII99 avenue Jean-Baptiste Clemen t, 93430 Villetaneuse, FranceCorresponding author email:cyrille.bertelle@gmail.comAbstract. In this study, we develop a methodology based on computational... more
LIPN - University of Paris XIII99 avenue Jean-Baptiste Clemen t, 93430 Villetaneuse, FranceCorresponding author email:cyrille.bertelle@gmail.comAbstract. In this study, we develop a methodology based on computational intelligenceconcepts, for decision making tools using simulation of self-organized complex systems.Land-use management is considered here as the output of sustainable development strate-gies, dealing with the achievement of many objectives, interacting in a complex way,like environmental, economical and social objectives. The methodology presented herecan be considered as a conceptual evolution in simulation processes from the simulationsbased on rule systems over geographical cellular automata toward the simulations involv-ing self-organized agent-based systems over geographical information systems (GIS). Ourmethodology is based on self-organization patterns detection which emerge from spatialand behavioral systems. According to the complex systems modelling principle...
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This paper presents a new concept for an artificial ant model to build proximity graphs. We tried first to introduce the state of art of different clustering methods relying on the swarm intelligence and the ants numerous abilities. Our... more
This paper presents a new concept for an artificial ant model to build proximity graphs. We tried first to introduce the state of art of different clustering methods relying on the swarm intelligence and the ants numerous abilities. Our new bio-inspired model is based on artificial ants over a dynamic graph of clusters using colonial odours and pheromone-based reinforcement process. Our non-hierarchical algorithm, called CL-Ant, where each ant represents one datum and its moves aim to create homogeneous data groups that evolve together in a proximity graph environment. In this model, the artificial ant performs two steps: following the maximum pheromone path rate, and then, integrating to neighbours clusters using simple localisation rules. Afterwards we present an incremental extension, called CL-AntInc to treat data streams, which allows building graphs in an incremental way. Our survey properties were studied thoroughly and a detailed analytical comparison of our results with those obtained by other methods was provided. These algorithms were evaluated and validated using real databases extracted from the Machine Learning Repository.
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Inside a logistic system, actors of the logistics have to interact to manage a coherent flow of goods. They also must deal with the constraints of their environment. The article’s first goal is to study how macro properties (such as... more
Inside a logistic system, actors of the logistics have to interact to manage a coherent flow of goods. They also must deal with the constraints of their environment. The article’s first goal is to study how macro properties (such as global performance) emerge from the dynamic and local behaviors of actors and the structure of the territory. The second goal is to understand which local parameters affect these macro properties. A multi-scale approach made of an agent-based model coupled with dynamic graphs describes the system’s components, including actors and the transportation network. Adaptive behaviors are implemented in this model (with data about the Seine axis) to highlight the system’s dynamics. Agent strategies are evolving according to traffic dynamics and disruptions. This logistic system simulator has the capacity to exhibit large-scale evolution of territorial behavior and efficiency face to various scenarios of local agent behaviors.
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Modern communication networks and social networks are the main tunnels of knowledge diffusion. Knowledge diffusion in complex networks is different from the epidemic like information spreading, since individuals are willing to learn and... more
Modern communication networks and social networks are the main tunnels of knowledge diffusion. Knowledge diffusion in complex networks is different from the epidemic like information spreading, since individuals are willing to learn and spread knowledge to their friends and the learning process can hardly be achieved in few conversations. In this paper, we investigate the important issue as which topological structure is suitable for knowledge diffusion. We propose a new knowledge diffusion model, where learning and forgetting mechanisms are considered. In this model, individuals can play imparter and learner simultaneously. Comparing the knowledge diffusion on a series of complex topologies, we observe that the individuals with a large degree can quickly learn more knowledge, who are beneficial to the knowledge diffusion. Our results surprisingly reveal that the networks with high degree heterogeneities are likely to be suitable for the knowledge diffusion. Our finding suggests that enhancing the degree heterogeneity of existing social networks may help to improve the performance of the knowledge diffusion. This result is well confirmed by our extensive simulation results. Our model therefore provides a theoretical framework for understanding the knowledge diffusion in complex topologies.
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... Rapporteur Alain Cardon, Professeur à l&#x27;Université du Havre, Directeur Serge Huberson, Professeur à l&#x27;Université du Havre, Examinateur Daniel Krob, Professeur à l&#x27;Université de Paris VII, Examinateur Edith... more
... Rapporteur Alain Cardon, Professeur à l&#x27;Université du Havre, Directeur Serge Huberson, Professeur à l&#x27;Université du Havre, Examinateur Daniel Krob, Professeur à l&#x27;Université de Paris VII, Examinateur Edith Perrier, Chargée de Recherche à l&#x27;IRD, Examinateur ...
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The major problem of e-learning is often stopped during training. Due to the fact that it is necessary to ensure an individualized and continuous learner’s follow-up during the learning process. Our work in this field develops the design... more
The major problem of e-learning is often stopped during training. Due to the fact that it is necessary to ensure an individualized and continuous learner’s follow-up during the learning process. Our work in this field develops the design and implementation of a Multi-Agents System Based on Dynamic Case Based Reasoning which can initiate learning and provide an individualized follow-up of a learner. When interacting with the platform, every learner leaves his/her traces in the machine. These traces are stored in the memory bank, this operation enriches collective past experiences. Via monitoring, comparing and analyzing these traces, the system keeps a constant intelligent watch on the platform, and therefore it detects the difficulties hindering progress, and/or it avoids possible dropping out. The system can support any learning subject. The success of a casebased reasoning system depends critically on the performance of the retrieval step used and, more particularly, on similarity measure used to retrieve source cases that are similar to the learners' traces (traces in progress). We propose a dynamic retrieving method based on a complementary similarity measure, named Inverse Longest Common Sub-Sequence (ILCSS). To guide and help the learner, the system is equipped with combination of human and virtual tutors.
In this paper, we deal with some specific domains of applications to game theory. This is one of the major class of models in the new approaches of modelling in the economic domain. For that, we use genetic automata which allow to buid... more
In this paper, we deal with some specific domains of applications to game theory. This is one of the major class of models in the new approaches of modelling in the economic domain. For that, we use genetic automata which allow to buid adaptive strategies for the players. ...
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In this paper, we study the cliff collapses, using observations and in situ measures, along 120 km of the french chalk coastline in Upper-Normandy and Picardy. Cliff collapses occur inconsistently in time and space, in unpredictable way.... more
In this paper, we study the cliff collapses, using observations and in situ measures, along 120 km of the french chalk coastline in Upper-Normandy and Picardy. Cliff collapses occur inconsistently in time and space, in unpredictable way. A european scientific project ROCC (Risk Of Cliff Collapse) has been launched (1999-2002) in order to identify the critical parameters involved, to evaluate
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... Rapporteur Alain Cardon, Professeur à l&#x27;Université du Havre, Directeur Serge Huberson, Professeur à l&#x27;Université du Havre, Examinateur Daniel Krob, Professeur à l&#x27;Université de Paris VII, Examinateur Edith... more
... Rapporteur Alain Cardon, Professeur à l&#x27;Université du Havre, Directeur Serge Huberson, Professeur à l&#x27;Université du Havre, Examinateur Daniel Krob, Professeur à l&#x27;Université de Paris VII, Examinateur Edith Perrier, Chargée de Recherche à l&#x27;IRD, Examinateur ...
... networks are shown and lead to a power law characterizing self-organized systems (N. Corson and MA Aziz-Alaoui). ... processes for decision making are suggested: complex systems&amp;amp;amp;#x27; modellingfor inventory management... more
... networks are shown and lead to a power law characterizing self-organized systems (N. Corson and MA Aziz-Alaoui). ... processes for decision making are suggested: complex systems&amp;amp;amp;#x27; modellingfor inventory management systems (K. Ramaekers and GK Janssens), medical ...
Springer Complexity Springer Complexity is a publication program, cutting across all traditional disci-plines of sciences as well as engineering, economics, medicine, psychology and computer sciences, which is aimed at researchers,... more
Springer Complexity Springer Complexity is a publication program, cutting across all traditional disci-plines of sciences as well as engineering, economics, medicine, psychology and computer sciences, which is aimed at researchers, students and practitioners working in the field of ...
In distributed simulations, many entities (mobile agents, dis-tributed objects, processes) communicate and may evolve continuously. Volumes of communications, groups of com-municating entities, as well as computational needs may vary a... more
In distributed simulations, many entities (mobile agents, dis-tributed objects, processes) communicate and may evolve continuously. Volumes of communications, groups of com-municating entities, as well as computational needs may vary a lot during the execution. Due to these ...