Multi-agent systems (MAS) are increasingly being acknowledged as a modelling paradigm for capturing the dynamics of complex systems in a wide range of domains, from system biology to adaptive socio-technical system of systems. The execution of such MAS simulations on parallel machines is a challenging problem due to their dynamic, non-deterministic, data-centric behaviour and nature. These problems are exacerbated as the scale of such MAS models increases. PDES-MAS is a distributed simulation kernel developed specifically to support MAS models addressing the problems of partitioning, load balancing and interest management in an integrated, transparent and adaptive manner. This paper presents an overview of PDES-MAS and for the first time it...
International audienceThis paper presents an approach for modeling and simulation of complex systems...
This thesis is focused on the study of complex systems through a modeling and simulation (M&S) proce...
Execution parallelism in agent-Based Simulation (ABS) allows to deal with complex/large-scale models...
AbstractMulti-agent systems (MAS) are increasingly being acknowledged as a modelling paradigm for ca...
Multi-agent systems are increasingly being employed in the development of concurrent systems in a wi...
KEYWORDS:agents, simulation, interest management, load balancing. Agent-based systems are increasing...
Texte intégral accessible uniquement aux membres de l'Université de LorraineThis thesis belongs at t...
International audienceMulti-Agent Systems (MAS) are naturally good candidates for large-scale parall...
This thesis treats about parallel simulation of multi-agent systems (MAS), in particular behaviours ...
The PDES literature offers a rich set of techniques for distributed and efficient simulation. Howeve...
Research on systems of autonomous agents, called multiagent systems (MAS), has received much interes...
International audienceSimulation has become an indispensable tool for researchers to explore systems...
Contributions of this PHD take place on computer science research on complex systems, specifically i...
Simulation of complex systems provides observation of the studied systems' dynamics in a suitable ti...
In tllis paper we present a paradigm for simulaling complex phenomena which may involve multiple phy...
International audienceThis paper presents an approach for modeling and simulation of complex systems...
This thesis is focused on the study of complex systems through a modeling and simulation (M&S) proce...
Execution parallelism in agent-Based Simulation (ABS) allows to deal with complex/large-scale models...
AbstractMulti-agent systems (MAS) are increasingly being acknowledged as a modelling paradigm for ca...
Multi-agent systems are increasingly being employed in the development of concurrent systems in a wi...
KEYWORDS:agents, simulation, interest management, load balancing. Agent-based systems are increasing...
Texte intégral accessible uniquement aux membres de l'Université de LorraineThis thesis belongs at t...
International audienceMulti-Agent Systems (MAS) are naturally good candidates for large-scale parall...
This thesis treats about parallel simulation of multi-agent systems (MAS), in particular behaviours ...
The PDES literature offers a rich set of techniques for distributed and efficient simulation. Howeve...
Research on systems of autonomous agents, called multiagent systems (MAS), has received much interes...
International audienceSimulation has become an indispensable tool for researchers to explore systems...
Contributions of this PHD take place on computer science research on complex systems, specifically i...
Simulation of complex systems provides observation of the studied systems' dynamics in a suitable ti...
In tllis paper we present a paradigm for simulaling complex phenomena which may involve multiple phy...
International audienceThis paper presents an approach for modeling and simulation of complex systems...
This thesis is focused on the study of complex systems through a modeling and simulation (M&S) proce...
Execution parallelism in agent-Based Simulation (ABS) allows to deal with complex/large-scale models...