Time Windows in Multi-agent Distributed Simulation
نویسندگان
چکیده
In this paper we describe a method for optimistic parallel discrete event simulation for multi-agent systems. We present an adaptive metric that calculates the appropriate degree of optimism for an agent process based on the reads and writes made to the shared state by that agent. We conclude by showing how results from our investigations into the application of moving time windows in agent simulation affects future development of the adaptive metric.
منابع مشابه
Adaptive Consensus Control for a Class of Non-affine MIMO Strict-Feedback Multi-Agent Systems with Time Delay
In this paper, the design of a distributed adaptive controller for a class of unknown non-affine MIMO strict-feedback multi agent systems with time delay has been performed under a directed graph. The controller design is based on dynamic surface control method. In the design process, radial basis function neural networks (RBFNNs) were employed to approximate the unknown nonlinear functions. S...
متن کاملAdaptive Optimistic Synchronisation for Multi-agent Distributed Simulation
In this paper we describe an adaptive, optimistic synchronisation mechanism for the parallel discrete event simulation of agent-based systems. The mechanism uses the Sphere of Influence (SoI) of an event (the region of the shared simulation state read or written to by the event) to define an adaptive metric which can be used with a throttling mechanism such as moving time windows. We show how s...
متن کاملAdaptive Distributed Consensus Control for a Class of Heterogeneous and Uncertain Nonlinear Multi-Agent Systems
This paper has been devoted to the design of a distributed consensus control for a class of uncertain nonlinear multi-agent systems in the strict-feedback form. The communication between the agents has been described by a directed graph. Radial-basis function neural networks have been used for the approximation of the uncertain and heterogeneous dynamics of the followers as well as the effect o...
متن کاملDistributed multi-agent Load Frequency Control for a Large-scale Power System Optimized by Grey Wolf Optimizer
This paper aims to design an optimal distributed multi-agent controller for load frequency control and optimal power flow purposes. The controller parameters are optimized using Grey Wolf Optimization (GWO) algorithm. The designed optimal distributed controller is employed for load frequency control in the IEEE 30-bus test system with six generators. The controller of each generator is consider...
متن کاملNeuroevolution of a multi-agent system for the dynamic pickup and delivery problem
Automated transportation and logistics create particularly challenging problems for planners and schedulers. Besides their computational hardness, such systems need to cope with the dynamic and distributed nature of the problems. This article describes an agent-based approach to the dynamic pickup and delivery problem (PDP). We investigate the feasibility of using the neuroevolution of augmenti...
متن کامل