In order to make large-scale multi-agent systems reliable, we propose an adaptive application of replication strategies. Critical agents are replicated to avoid failures. As criticality of agents may evolve during the course of computation and problem solving, we need to dynamically and automatically adapt the number of replicas of agents, in order to maximize their reliability and availability...

agents, in a multi agent system, communicate with each other through the process of exchanging messages which is called dialogue. multi agent organization is generally used to optimize agents’ communications. holonic organization demonstrates a self-similar recursive and hierarchical structure in which each holon may include some other holons. in a holonic system, lateral communication occurs b...

MENS is a bio-inspired model for higher level cognitive systems; it is an application of the Memory Evolutive Systems developed with J.-P. Vanbremeersch [12], to model complex multi-scale, multi-agent self-organized systems, such as biological or social systems. Its development resorts from an info-computationalism: first we characterize the properties of the human brain/mind at the origin of h...

this paper describes how multi-agent system technology can be used as the underpinning platform for voltage control in power systems. in this study, some facts (flexible ac transmission systems) devices are properly designed to coordinate their decisions and actions in order to provide a coordinated secondary voltage control mechanism based on multi-agent theory. each device here is modeled as ...

MENS is a bio-inspired model for higher level cognitive systems; it is an application of the Memory Evolutive Systems developed with Vanbremeersch to model complex multi-scale, multi-agent self-organized systems, such as biological or social systems. Its development resorts to an info-computationalism: first we characterize the properties of the human brain/mind at the origin of higher order co...

Agent-based information retrieval systems have gained great attentions due to the proliferation of readily available, but overwhelming information on the distributed network environments such as the Web. Agents are often developed not in isolation but as part of a multi-agent system. In this paper, we present a neural network based multi-agent, especially hierarchically organized, information r...

We describe a novel framework for designing and implementing agent based simulations of the smart electrical grid. The framework is based on two primary concepts. First, the eletrical grid system is separated into semi-autonomous microgrids, each with their own set of hierarchically organized agents. Second, models for automating decision-making in the grid during crisis situations are independ...