The context of this work is that of systems being able to produce a collective response from interaction between simple individuals. Such systems are qualified of self organized ones and can be modeled with reactive multi-agent systems. This article underlines why, from our point of view, the analysis of these systems requires an experimental approach and it details our proposition in terms of ...

agent technology is an emerging and promising research area in software technology, which increasingly contributes to the development of value-added information systems for large healthcare organizations due to its capability to automatically modify themselves in response to changes in their operating environment. multi agent system (mas) approach is the construction of a complex system as a se...

In this article, we propose an original method for providing fault tolerance in multi-agent systems through replication. Our method focuses on building an automatic, adaptive and predictive replication policy to solve the resource allocation problem of determining where agents must be replicated to minimize the impact of failures. This policy is determined by taking into account the criticality...

The phenomenon of aggregation and dilation(A&D) widely exists in nature. The mechanism behind it is regarded as the effect of some kind of attraction and repulsion(A&R). A&R control becomes a popular and promising way of controlling the structure and distribution of a group composed of several and even numerous individuals. This paper presents the concepts of aggregation, dilation and group evo...

The possibility of failure is a fundamental characteristic of distributed applications. The research community in fault tolerance has developed several solutions mainly based on the concept of replication. In this paper, we propose a fault tolerant hybrid approach in multi-agent systems. We have based our strategy on two main concepts: replication and teamwork. Through this work, we have to cal...

The concepts and methodology needed for designing, developing, and implementing real life applications based on multi-agent systems are today still a challenge for researchers in Artificial Intelligence and Computer Science. Industrial-strength multi-agent systems require, among other things, reusability, i.e. the capability of not having to design and implement from scratch a new multi-agent s...

This report presents a study of integrating particle swarm algorithm, social knowledge adaptation and multi-agent approaches for modeling the social learning of self-organized groups and their collective searching behavior in an adaptive environment. The objective of this research is to apply the particle swarm metaphor as a model of social learning for a dynamic environment. The research provi...

In collaborative multi-agent systems, the participating agents have to join forces in order to solve a common goal. The necessary coordination is often realized by message exchange. While this might work perfectly in simulated environments, the implementation of such systems in a field application usually reveals some challenging properties: arbitrary communication networks, message delays due ...

Online Communities are an example of sociallyaware, self-organising, complex adaptive computing systems. The multi-agent systems (MAS) paradigm coordinated by self-organisation mechanisms has been used as an effective way for the simulation and modeling of such systems. In this paper, we propose a model for simulating an online health community using a situated multi-agent system approach, gove...