This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodology permits to engineer dynamic multi-level agent-based models, to represent complex systems over several scales and domains of interest. Its goal is to simulate a phenomenon using dynamically the lightest representatio...

In the supply chain modeling context, the agent-based model aims to represent not only each node, but also the information sharing process among these nodes. Despite the complexity of the configuration, the agent-based model can be applied straightforwardly to support the collaborative planning process. This allows the parties to achieve common goals effectively. Thus by sharing accurate, actio...

Much work in the field of agent-based systems has tended to focus on either the development of practical applications of agent systems on the one hand, or the development of sophisticated logics for reasoning about agent systems on the other. Our own view is that work on formal models of agent-based systems are valuable inasmuch as they contribute to a fundamental goal of computing of practical...

This paper proposes an agent-based approach for real-time collaborative monitoring and maintenance of equipments and machines. The proposed approach automates the maintenance management process by utilizing intelligent softvvare agents. The maintenance schedules are achieved by automated real time negotiation among software agents representing geographically distributed field engineers and a br...

In this paper, we investigate innovative techniques of achieving software flexibility in a workflow environment. We believe that by incorporating workflow technology and intelligent agent techniques into modern information systems, software can be made more robust, more cost effective to maintain, and easier to change. In this paper, we present (1) an in-depth investigation of software flexibil...

In traditional supply chain (SC), planning problems are usually considered individually at each SC entity. However, such decisions often influence the other members in the chain and thus an integrated approach should be considered. By modelling system-wide SC networks, different SC problems, like production planning, coordination, order distribution, among others, can be integrated and solved s...

The cost of services provided by public and private healthcare systems is nowadays becoming critical. This work tackles the criticalities of hospital equipments and drugs management by emphasizing its implications on the whole healthcare system efficiency. The work presents a multi-agent based model for decisional cooperation in order to address the problem of integration of departments, wards ...

Agent-based computational economics (ACE) has received increased attention and importance over recent years. Some researchers have attempted to develop an agent-based model of the stock market to investigate the behavior of investors and provide decision support for innovation of trading mechanisms. However, challenges remain regarding the design and implementation of such a model, due to the c...

Scientists and intelligence analysts are interested in quickly discovering new results from the vast amount of available geospatial data. The key issues that arise in this pursuit are how to cope with new and changing information and how to manage the steadily increasing amount of available data. This paper describes a novel agent architecture that has been developed and tested to address these...