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Purpose:

This page provides access to different platforms and softwares developed by the project team. This site provides a space where project members can share their work from anywhere. The access to the different workspaces requires a login. Contact remy.courdier@univ-reunion.fr or denis.payet@univ-reunion.fr for more information.

Interests:

The research of the "Collective Adaptive Systems" research group focuses on the confluence of modelling and simulation techniques of complex systems and computer science techniques. Our research is based on numerous models of reasoning and action in AI and communication protocols and techniques of parallel and distributed programming. Its emphasis is stressed on (i) taking into account the knowledge of interactions between virtual or real entities and the representation of collective phenomena (ii) propose new frameworks for collective adaptive systems developments.

The research group on "Collective Adaptive Systems" evolves at the intersection between modeling and simulation of complex systems and advanced software architecture techniques. It is concerned with the understanding and development of systems capable of adaptive decision-making processes, responding to contemporary technological and environmental challenges. The team's work focuses in particular on collective adaptive systems and multi-agent systems (MAS), aiming to unravel the intrinsic complexity of natural and social systems through simulation and modeling. The group's research is rooted in a multidisciplinary approach, integrating knowledge and methodologies from artificial intelligence, environmental sciences, urban planning and cognitive sciences. This mix enriches the approaches and solutions proposed to tackle a wide range of issues, such as sustainable land management, optimizing smart city infrastructures, and designing intelligent ecosystems such as on Reunion Island. Our work involves exploring the ability of agents within these systems to learn, adapt, communicate and make collective decisions in the face of environmental change. One of the major challenges encountered in their research lies in the modeling and simulation of the complexity of real systems, requiring faithful representation of the autonomy of individual entities as well as their collective behaviors. Interdisciplinary integration, at the heart of their approach, aims to bring together the knowledge and methods of various disciplines to design systems that are technologically advanced, but also socio-environmentally responsible.

Our Group was led to be able to participate in the two IT axes of the LIM laboratory :

• "Informatique Mobile et Communicante (IMC)" Research axis: through the formalisation and structuring of interactional communications between mobile entities in physical or logical environments on order to build distributed multi-agent architectures ;
• "Données-COnnaissances-Décision (DCoD)" Research axis: through the ability to implement collective reasoning and decision algorithms based on spatial and temporal data used for modelling and simulation of complex natural and social systems to support territorial management using a multi-agent approach.

With the new organisation of the Lab, This research working group participate to the "Données, Connaissances et Informatique Communicante" (DCIC) reserach axe of the LIM.

Key words

adaptive collective systems, multi-agent systems, agent based modelling, multi-agent simulation, cognitive computing, spatial planning, sustainable development, urban system simulation

Keywords in the French research nomenclature (CNU 27):

• Code 86, Système Multi-Agent, intelligence artificielle distribuée, modélisation cognitive
• Code D0, modélisation-simulation pour les systèmes complexes
• Code 75, méthodes de programmation et paradigmes
• Code 0, ville intelligente, île intelligente, véhicule électrique, mobilité

Thesis and Post-Doctoral:

• ...All theses

Last Software productions or participations:

• PoVaBia: "Potential of bio-waste recovery in agriculture (PovaBia)", Post-doctorate co-financed by the European Union and the Réunion Region. Multi-scale modeling of waste management Platform by agent-oriented simulation Anylogic PoVaBia simulation model.
• SKUAD: SKUAD Software Library,(Software Sit for Ubiquitous Agent Development) SKUAD Library
• MECA: MECA is an agent architecture Java Library for Multi-agents development, MECA Library
• SmartCityModel: agent based model in urban energy systems, in particular in transport electrification analysis, Repository for the SmartCityModel base code on Github
• SIEGMAS : An Agent-Based system for Stakeholders Interactions in Environnemental Governance.
• MASC: MASC is a tool created to help for extracting interesting data from pictures. The data is used to create a simplified map in MAS simulators, MASC website
• GEAMAS-NG: : Geamas multi-agent simulation platform, please contact us by mail for more information
• BIOMAS: Agent-based simulation of complex systems : application to collective management of animal wastes, please contact us by mail for more information

Ongoing Research Group network

• FORWARD: network in the thematic group on "Information and Communication Technology" aimed at increasing the participation of French universities, research organizations and ultramarine companies in European research and innovation funding programs.
• ASSESS: Network in the thematic group on "A​gent-based ​S​imulation to study ​S​ocio-E​nvironmental ​S​ystem​S" founded by the INREA (in submission).
• "Smart city & Island of Réunion Island" Thinkink Tank: working group on smart cities, and in particular on their prospects for Réunion island. More...

Ongoing Collaborations

• University of Sherbrooke, Domus Lab
• Imperial College London, Centre for Process Systems Engineering
• INRA/CIRAD, UMR Selmet
• CIRAD, UR Recyclage et Risque, Liane Lab
• Ville de Saint-Denis de la Réunion