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There is currently a wide use of remote monitoring in several areas. They usually respond to work-related problems in areas either inaccessible or hazardous for humans. The remote-control applications are potentially many flj. In order to find a reliable solution to the problems associated with the remote control, several architectures appear [2]. The main idea behind these architectures is to propose a unified model of execution and planning and constantly interleave these two phases. In parallel with these architectural solutions, the emergence of components based software frameworks on the one hand, and powerful dynamic languages on the other hand, have fostered coordination and robustness. We shall present in this article the third version of an "EAAS3 " architecture which has been in development for several years. To make our approach tangible and concrete, we presented two actual 2CRM/T cases [3] [4] so to reflect the effectiveness of this control architecture. This architecture is built on a set of concept based on the following systems: multi-agent, robotics, real-time embedded. [ABSTRACT FROM AUTHOR]

Sensor network pose a number of challenges due to the limitation of their resources especially in term of energy and memory. Security protocol strives to be light-weight, in terms of code size and processing requirement, whilst retaining their usefulness in order to assist in achieving this goal. This paper presents a multi agent system architecture for energy security optimization in wireless sensor network. The main objective of this architecture is to optimize the energy consumption of battery during the call of the security mechanism. Our architecture includes three multi agent system modules, a treatment module, a wireless technology management module and a security module. The security module consists of three agents, a sensibility agent, a diagnostic agent and a coding/decoding agent. The sensibility agent interacts with the treatment module and wireless technologies management module to attribute a level of sensibility to the data which we will transmit, the diagnostic agent allows selecting the best encoding algorithm suited to our situation and to our need. [ABSTRACT FROM AUTHOR]

In this document we propose a control architecture of mobile robot purely based on multi-agent systems where each agent has several algorithms to carry out its tasks, and to select the best algorithm relevant to the situation of the mobile robot in its environment. To do so, we considered the design of an architecture based on multi-agent systems. Robots, unlike many software multi-agents systems, operate under real-world, real-time constraints where sensors and effectors with specific physical characteristics need to be controlled. To facilitate research in autonomous robotics and help architecture designers in managing the complexity of embodied agents, in this paper an autonomous robot control architecture have been developed that support various aspects of the agent development process, ranging from the design of an agent architecture, to its implementation on robot hardware, to executing it on the robot. [ABSTRACT FROM AUTHOR]

The main goal in this project is to define and implement an evolutionary and generic platform for multi agent systems (MAS) simulation by an agent-based approach. This paper describes an architecture designed and implemented in this area. Its principle consists of breaking down and modelling a multi agent system to as many agents as necessary, an organisation and an environment. A designer or a programmer builds its application by making a choice of the requiring agents, by coding their processing around a processing model and by associating them around integration architecture, and then by coding non generic agents. This on agent based approach, drawn around a core to which we can add and develop thematic software layers, enhance the modularity and the genericity of implementation allowing their reuse in future achievements. This characteristic distinguishes our platform from other existing environments for being not only independent from any other particular multi-agents model but it provides a generic models' library as well. [ABSTRACT FROM AUTHOR]