N. Kabachi | Université Claude Bernard Lyon 1 (original) (raw)

Papers by N. Kabachi

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)

ABSTRACT In this paper we build a multi-agent system to aggregate preferences of decision-makers.... more ABSTRACT In this paper we build a multi-agent system to aggregate preferences of decision-makers. In our system, a decision-maker is a cognitive agent who debates with other agents in view to obtain a consensus about the preference between two objects. Our approach is based on the simulation of debates where preferences of these agents can changed according to influences or coalitions between agents. Our multiagent system gives us an iterative process to aggregate preferences and displays some informations about the processes of negotiation between decision-makers.

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems - AAMAS '05, 2005

According to Lev Vygotsky, learning is influenced by social interactions and this confrontation o... more According to Lev Vygotsky, learning is influenced by social interactions and this confrontation of points of view enables anindividual,to evolve ,during the time. The Vygotsky’s theory gives a quite important place not only to social tools aslanguage, but also to interactions and relationships between individuals. Therefore, we try to see how, in a multi agents system, an “intelligent agent” can learn and more easily integrate a new,environment,and a new,agent’s community. This paper proposes our ideas on that topic and tries to give a modeling,of the adaptive,agent’s behavior in the framework ,of multi agents systems (it should be noted that it is a work in progress). 1. Introduction Social behaviors, in particular social learning, are key

IEEE/WIC/ACM International Conference on Intelligent Agent Technology

Langages et Modèles à Objets, 1997

Recent Advances in Stochastic Modeling and Data Analysis, 2007

The aim of this work is to define a clustering method starting from the pretopological results re... more The aim of this work is to define a clustering method starting from the pretopological results related to the minimal closed subset concepts which provide us the view of relations between groups in its structure; then, we consider this result as the pre-treatment for some classical clustering algorithms. Especially, k-means philosophy is observed by its remarkable benefits. Thus we propose a new clustering method in two processes such as structuring process and clustering one. This method allows us to: obtain a data clustering for both of categorical and numeric data-exclude the limit in determination of cluster number a priori-and attain well-shaped clusters whose shapes are not influenced on existence of outliers.

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004

According to Lev Vygotsky, individual's learning is influenced by social interactions wit... more According to Lev Vygotsky, individual's learning is influenced by social interactions with his environment. This confrontation of points of view enables an individual to evolve during the time. The Vygotsky's theory gives a quite important place not only to social tools as language, but also to interactions and relationships between individuals. From this report, we try to see how, in

2013 ACS International Conference on Computer Systems and Applications (AICCSA), 2013

Lecture Notes in Computer Science, 2014

2ème Atelier aIde à la Décision à tous les Etages (EGC/AIDE 13), 2013

Résumé. Dans cet article, nous portons notre regard sur l'aide à la décision du point de vue... more Résumé. Dans cet article, nous portons notre regard sur l'aide à la décision du point de vue des systèmes décisionnels au sens des entrepôts de données et de l'analyse en ligne. Après avoir défini les concepts qui sous-tendent ces systèmes, nous nous proposons d'aborder les problématiques de recherche qui leur sont liées selon quatre points de vue: les données, les environnements de stockage, les utilisateurs et la sécurité.

In this paper we build a multi-agent system to aggregate preferences of decision-makers. In our s... more In this paper we build a multi-agent system to aggregate preferences of decision-makers. In our system, a decision-maker is a cognitive agent who debates with other agents in view to obtain a consensus about the preference between two objects. Our approach is based on the simulation of debates where preferences of these agents can changed according to influences or coalitions between agents. Our multiagent system gives us an iterative process to aggregate preferences and displays some informations about the processes of negotiation between decision-makers.

IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems - AAMAS '05, 2005

In psychology, adaptation is a dynamic process in which behavior and physiological mechanisms of ... more In psychology, adaptation is a dynamic process in which behavior and physiological mechanisms of an individual continually change to adjust variations in the environment. Following this logic using a multi agents system, we can simulate the behavior of a person wishing to integrate easily and quickly a new environment using its interactions with the others. Indeed, we consider that information

De par le monde, plusieurs états se sont engagés dans l'ouverture de leurs données, un processus ... more De par le monde, plusieurs états se sont engagés dans l'ouverture de leurs données, un processus considéré comme élément de transparence d'une gouvernance. Or, le volume de ces données publiques est en augmentation permanente, et atteindra dans un futur proche les limites de capacité de traitement et de stockage actuelles. Par ailleurs, le paradigme MapReduce est aujourd'hui l'un des modèles de programmation parallèle le plus utilisé. Définissant une architecture Maître-Esclave, il permet le traitement parallèle de grandes masses de données. Dans cet article, nous proposons un algorithme basé sur MapReduce qui permet, à partir des données publiques du Ministère Français de la Communication et de la Culture, de définir un classement des galeries et musées nationaux selon leurs degrés d'accessibilité aux personnes handicapées. Enfin, l'algorithme défini dans ce travail peut être exploité et appliqué à d'autres cas d'études avec des jeux de données plus volumineux.

Nowadays the MapReduce paradigm is one of the most used parallel programming models. With a maste... more Nowadays the MapReduce paradigm is one of the most used parallel programming models. With a master-slave architecture, it allows parallel processing of very large data sets. On the other hand, many governments and states are involved in an opening strategy of their public data. However, the volume of these public data is constantly increasing, and will reach in the near future limitations of current treatment and storage capacity. In this paper, we propose a parallel approach based on the Mapreduce paradigm to process public opened data. Applied, as a case study, to the official data sets from the French Ministry of Communication and Culture, we implement a parallel algorithm as a solution to define a ranking of national museums and galleries according to the accessibility degrees for people with disabilities. This work can be applied to other cases with very large data sets.

Lecture Notes in Computer Science, 2012

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)

ABSTRACT In this paper we build a multi-agent system to aggregate preferences of decision-makers.... more ABSTRACT In this paper we build a multi-agent system to aggregate preferences of decision-makers. In our system, a decision-maker is a cognitive agent who debates with other agents in view to obtain a consensus about the preference between two objects. Our approach is based on the simulation of debates where preferences of these agents can changed according to influences or coalitions between agents. Our multiagent system gives us an iterative process to aggregate preferences and displays some informations about the processes of negotiation between decision-makers.

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems - AAMAS '05, 2005

According to Lev Vygotsky, learning is influenced by social interactions and this confrontation o... more According to Lev Vygotsky, learning is influenced by social interactions and this confrontation of points of view enables anindividual,to evolve ,during the time. The Vygotsky’s theory gives a quite important place not only to social tools aslanguage, but also to interactions and relationships between individuals. Therefore, we try to see how, in a multi agents system, an “intelligent agent” can learn and more easily integrate a new,environment,and a new,agent’s community. This paper proposes our ideas on that topic and tries to give a modeling,of the adaptive,agent’s behavior in the framework ,of multi agents systems (it should be noted that it is a work in progress). 1. Introduction Social behaviors, in particular social learning, are key

IEEE/WIC/ACM International Conference on Intelligent Agent Technology

Langages et Modèles à Objets, 1997

Recent Advances in Stochastic Modeling and Data Analysis, 2007

The aim of this work is to define a clustering method starting from the pretopological results re... more The aim of this work is to define a clustering method starting from the pretopological results related to the minimal closed subset concepts which provide us the view of relations between groups in its structure; then, we consider this result as the pre-treatment for some classical clustering algorithms. Especially, k-means philosophy is observed by its remarkable benefits. Thus we propose a new clustering method in two processes such as structuring process and clustering one. This method allows us to: obtain a data clustering for both of categorical and numeric data-exclude the limit in determination of cluster number a priori-and attain well-shaped clusters whose shapes are not influenced on existence of outliers.

2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583), 2004

According to Lev Vygotsky, individual's learning is influenced by social interactions wit... more According to Lev Vygotsky, individual's learning is influenced by social interactions with his environment. This confrontation of points of view enables an individual to evolve during the time. The Vygotsky's theory gives a quite important place not only to social tools as language, but also to interactions and relationships between individuals. From this report, we try to see how, in

2013 ACS International Conference on Computer Systems and Applications (AICCSA), 2013

Lecture Notes in Computer Science, 2014

2ème Atelier aIde à la Décision à tous les Etages (EGC/AIDE 13), 2013

Résumé. Dans cet article, nous portons notre regard sur l'aide à la décision du point de vue... more Résumé. Dans cet article, nous portons notre regard sur l'aide à la décision du point de vue des systèmes décisionnels au sens des entrepôts de données et de l'analyse en ligne. Après avoir défini les concepts qui sous-tendent ces systèmes, nous nous proposons d'aborder les problématiques de recherche qui leur sont liées selon quatre points de vue: les données, les environnements de stockage, les utilisateurs et la sécurité.

In this paper we build a multi-agent system to aggregate preferences of decision-makers. In our s... more In this paper we build a multi-agent system to aggregate preferences of decision-makers. In our system, a decision-maker is a cognitive agent who debates with other agents in view to obtain a consensus about the preference between two objects. Our approach is based on the simulation of debates where preferences of these agents can changed according to influences or coalitions between agents. Our multiagent system gives us an iterative process to aggregate preferences and displays some informations about the processes of negotiation between decision-makers.

IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems - AAMAS '05, 2005

In psychology, adaptation is a dynamic process in which behavior and physiological mechanisms of ... more In psychology, adaptation is a dynamic process in which behavior and physiological mechanisms of an individual continually change to adjust variations in the environment. Following this logic using a multi agents system, we can simulate the behavior of a person wishing to integrate easily and quickly a new environment using its interactions with the others. Indeed, we consider that information

De par le monde, plusieurs états se sont engagés dans l'ouverture de leurs données, un processus ... more De par le monde, plusieurs états se sont engagés dans l'ouverture de leurs données, un processus considéré comme élément de transparence d'une gouvernance. Or, le volume de ces données publiques est en augmentation permanente, et atteindra dans un futur proche les limites de capacité de traitement et de stockage actuelles. Par ailleurs, le paradigme MapReduce est aujourd'hui l'un des modèles de programmation parallèle le plus utilisé. Définissant une architecture Maître-Esclave, il permet le traitement parallèle de grandes masses de données. Dans cet article, nous proposons un algorithme basé sur MapReduce qui permet, à partir des données publiques du Ministère Français de la Communication et de la Culture, de définir un classement des galeries et musées nationaux selon leurs degrés d'accessibilité aux personnes handicapées. Enfin, l'algorithme défini dans ce travail peut être exploité et appliqué à d'autres cas d'études avec des jeux de données plus volumineux.

Nowadays the MapReduce paradigm is one of the most used parallel programming models. With a maste... more Nowadays the MapReduce paradigm is one of the most used parallel programming models. With a master-slave architecture, it allows parallel processing of very large data sets. On the other hand, many governments and states are involved in an opening strategy of their public data. However, the volume of these public data is constantly increasing, and will reach in the near future limitations of current treatment and storage capacity. In this paper, we propose a parallel approach based on the Mapreduce paradigm to process public opened data. Applied, as a case study, to the official data sets from the French Ministry of Communication and Culture, we implement a parallel algorithm as a solution to define a ranking of national museums and galleries according to the accessibility degrees for people with disabilities. This work can be applied to other cases with very large data sets.

Lecture Notes in Computer Science, 2012