Agent-based simulation (ABS) is a paradigm which has received much attention within the last years. For enabling industrial use of ABS scalable solutions are required which can be executed on a distributed computing architecture. Such solutions must be capable of simulating complex models with hundreds or more complex deliberative agents with really autonomous behavior. In this article we argue that only optimistic synchronization protocols are potentially capable of providing the required performance. We suggest a synchronization protocol with constrained optimism which exploits specific characteristics of communication patterns within agent based simulations. Furthermore the presented protocol includes appropriate methods for GVT computa...
Simulation of complex systems provides observation of the studied systems' dynamics in a suitable ti...
Execution parallelism in agent-Based Simulation (ABS) allows to deal with complex/large-scale models...
Agents are a very useful form of modelling and understanding complex natural systems. Agent-based si...
Agent-based simulation (ABS) is a paradigm which has received much attention within the last years. ...
Research on systems of autonomous agents, called multiagent systems (MAS), has received much interes...
In the context of situated agents simulations, when the number of agents increases, the number of th...
ABSTRACT In this paper we describe an adaptive, optimistic synchronisation mechanism for the paralle...
International audienceWhen agents and interactions grow in a situated agent-based simulations, requi...
In previous work we presented the DTRD algorithm, an optimistic synchronization algorithm for parall...
Contributions of this PHD take place on computer science research on complex systems, specifically i...
Abstract — Large-scale agent-based simulation has been shown to be an effective tool for understandi...
peer reviewedAmong simulation or modelisation methods, multi-agent systems are an interesting candid...
Continuous-time agent-based models often represent tightly-coupled systems in which an agent's state...
Systems such as coordinating robot systems, automobiles, aircrafts, and chemical process control sys...
This thesis aims to design a distributed large scale MAS simulation. When the number of agents reach...
Simulation of complex systems provides observation of the studied systems' dynamics in a suitable ti...
Execution parallelism in agent-Based Simulation (ABS) allows to deal with complex/large-scale models...
Agents are a very useful form of modelling and understanding complex natural systems. Agent-based si...
Agent-based simulation (ABS) is a paradigm which has received much attention within the last years. ...
Research on systems of autonomous agents, called multiagent systems (MAS), has received much interes...
In the context of situated agents simulations, when the number of agents increases, the number of th...
ABSTRACT In this paper we describe an adaptive, optimistic synchronisation mechanism for the paralle...
International audienceWhen agents and interactions grow in a situated agent-based simulations, requi...
In previous work we presented the DTRD algorithm, an optimistic synchronization algorithm for parall...
Contributions of this PHD take place on computer science research on complex systems, specifically i...
Abstract — Large-scale agent-based simulation has been shown to be an effective tool for understandi...
peer reviewedAmong simulation or modelisation methods, multi-agent systems are an interesting candid...
Continuous-time agent-based models often represent tightly-coupled systems in which an agent's state...
Systems such as coordinating robot systems, automobiles, aircrafts, and chemical process control sys...
This thesis aims to design a distributed large scale MAS simulation. When the number of agents reach...
Simulation of complex systems provides observation of the studied systems' dynamics in a suitable ti...
Execution parallelism in agent-Based Simulation (ABS) allows to deal with complex/large-scale models...
Agents are a very useful form of modelling and understanding complex natural systems. Agent-based si...