Des données géographiques à la simulation à base d'agents : application de la plate-forme GAMA

International audienceCes dernières années, la simulation à base d’agents a révélé certains intérêts en géographie. Néanmoins, s’il existe aujourd’hui de nombreuses plates-formes permettant de faciliter le développement de modèle, celles-ci sont souvent trop complexes pour être utilisées par des non-informaticiens (par exemple Repast Symphony) ou trop limitées pour développer des modèles riches intégrant de nombreux agents et données (par exemple Netlogo). La plate-forme GAMA a pour objectif d’offrir aux modélisateurs une plate-forme à la fois puissante et simple d’accès grâce à langage de modélisation dédié. Dans cet article, nous présentons les capacités particulièrement avancées de la nouvelle version de la plate-forme GAMA pour la gestion de l’espace. Cette plate-forme permet en particulier de gérer simultanément plusieurs environnements basés sur trois types de topologie (continue, grille, graphe), d’intégrer très simplement des données géographiques (vectorielles et rasters) et de représenter des géométries dans un environnement 3D. Les capacités détaillées dans cet article sont illustrées par un modèle sur les problématiques de ségrégation urbaine

Practical Approach To Agent-Based Modelling

International audienceSummary of the Workshop 4 of Tam Dao Universitie

A Simple-to-Use BDI Architecture for Agent-Based Modeling and Simulation

With the increase of computing power and the development of user-friendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Cognitive architectures face two main obstacles: their complexity for the field-expert modeler, and their computational cost. In this paper, we propose a new cognitive agent architecture based on the Belief-Desire-Intention paradigm integrated into the GAMA modeling platform. Based on the GAML modeling language, this architecture was designed to be simple-to-use for modelers, flexible enough to manage complex behaviors, and with low computational cost. This architecture is illustrated with a simulation of the evolution of land-use in the Mekong Delta

A Simple-to-use BDI architecture for Agent-based Modeling and Simulation

International audienceWith the increase of computing power and the development of user-friendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Cognitive architectures face two main obstacles: their complexity for the field-expert modeler, and their computational cost. In this paper , we propose a new cognitive agent architecture based on the BDI (Belief-Desire-Intention) paradigm integrated into the GAMA modeling platform. Based on the GAML modeling language, this architecture was designed to be simple-to-use for modelers, flexible enough to manage complex behaviors, and with low computational cost. This architecture is illustrated with a simulation of the evolution of land use in the Mekong Delta

GAMA 1.6: Advancing the art of complex agent-based modeling and simulation

International audienceAgent-based models tend to be more and more complex. In order to cope with this increase of complexity, powerful modeling and simulation tools are required. These last years have seen the development of several platforms dedicated to the development of agent-based models. While some of them are still limited to the development of simple models, others allow to develop rich and complex models. Among them, the GAMA modeling and simulation platform is aimed at supporting the design of spatialized, multiple-paradigms and multiple-scales models. Several papers have already introduced GAMA, notably in earlier PRIMA conferences, and we would like, in this paper, to introduce the new features provided by GAMA 1.6, the latest revision to date of the platform. In particular, we present its capabilities concerning the tight combination of 3D visualization, GIS data management, and multi-level modeling. In addition, we present some examples of real projects that rely on GAMA to develop complex models

Des données géographiques à la simulation à base d'agents : application de la plate-forme GAMA

Ces dernières années, la simulation à base d’agents a révélé certains intérêts en géographie. Néanmoins, s’il existe aujourd’hui de nombreuses plates-formes permettant de faciliter le développement de modèle, celles-ci sont souvent trop complexes pour être utilisées par des non-informaticiens (par exemple Repast Symphony) ou trop limitées pour développer des modèles riches intégrant de nombreux agents et données (par exemple Netlogo). La plate-forme GAMA a pour objectif d’offrir aux modélisateurs une plate-forme à la fois puissante et simple d’accès grâce à langage de modélisation dédié. Dans cet article, nous présentons les capacités particulièrement avancées de la nouvelle version de la plate-forme GAMA pour la gestion de l’espace. Cette plate-forme permet en particulier de gérer simultanément plusieurs environnements basés sur trois types de topologie (continue, grille, graphe), d’intégrer très simplement des données géographiques (vectorielles et rasters) et de représenter des géométries dans un environnement 3D. Les capacités détaillées dans cet article sont illustrées par un modèle sur les problématiques de ségrégation urbaine

End-User Modelling of Quality for Web Components

With years of frantic development, when release fast and release often was the man-datory rule for web technologies and services, the open source paradigm and onlinedistribution repositories have imposed de facto standards for quality assessment infast-paced innovation processes. Nowadays, however, in pursuit of productivity,security, and user satisfaction, the industry is beginning, through the introduction ofnew standards such as ECMAScript 6 or web components, to consider software engi-neering mandates for web technologies. This article reports a quality model alignedwith international standard ISO/IEC 25010, covering web components technology,which ultimately aims to improve adoption by the software engineering industry,traditionally wary of agile Internet practices, the open source paradigm, and publicrepositories. Our research also presents an experimentation platform on which endusers have validated the quality properties, highlighting the implicit connection withthe perceived quality. The key result of our research convinces us that user ratingsare suitable as a testing mechanism for product quality and quality-in-use metrics inorder to define an absolute scale of comparison for web component quality.2019-2

Urban Swarms: A new approach for autonomous waste management

Modern cities are growing ecosystems that face new challenges due to the increasing population demands. One of the many problems they face nowadays is waste management, which has become a pressing issue requiring new solutions. Swarm robotics systems have been attracting an increasing amount of attention in the past years and they are expected to become one of the main driving factors for innovation in the field of robotics. The research presented in this paper explores the feasibility of a swarm robotics system in an urban environment. By using bio-inspired foraging methods such as multi-place foraging and stigmergy-based navigation, a swarm of robots is able to improve the efficiency and autonomy of the urban waste management system in a realistic scenario. To achieve this, a diverse set of simulation experiments was conducted using real-world GIS data and implementing different garbage collection scenarios driven by robot swarms. Results presented in this research show that the proposed system outperforms current approaches. Moreover, results not only show the efficiency of our solution, but also give insights about how to design and customize these systems.Comment: Manuscript accepted for publication in IEEE ICRA 201

A Simple-to-Use BDI Architecture for Agent-Based Modeling and Simulation

With the increase of computing power and the development of user-friendly multi-agent simulation frameworks, social simulations have become increasingly realistic. However, most agent architectures in these simulations use simple reactive models. Cognitive architectures face two main obstacles: their complexity for the field-expert modeler, and their computational cost. In this paper, we propose a new cognitive agent architecture based on the Belief-Desire-Intention paradigm integrated into the GAMA modeling platform. Based on the GAML modeling language, this architecture was designed to be simple-to-use for modelers, flexible enough to manage complex behaviors, and with low computational cost. This architecture is illustrated with a simulation of the evolution of land-use in the Mekong Delta

GAMA: A Spatially Explicit, Multi-level, Agent-Based Modeling and Simulation Platform

International audienceAgent-based modeling is now widely used to investigate complex systems but still lacks integrated and generic tools to support the representation of features usually associated with real complex systems, namely rich, dynamic and realistic environments or multiple levels of agency. The GAMA platform has been developed to address such issues and allow modelers, thanks to the use of a high-level modeling language, to build, couple and reuse complex models combining various agent architectures, environment representations and levels of abstraction