In Multi-Agent System (MAS), developers concentrate on creating design models and evolving them, from higher level models to lower level models, in several steps. Considerable part of MAS implementations is automatically produced from the design models. If a design model contains faults, they are passed to the generated implementations. Practical model validation techniques are required to disc...

The field of Multi-Agent Systems (MAS) focuses on the design and development of systems composed of autonomous entities (i.e. agents) which interact in order to perform specific activities. In general, direct human participation in these systems is not considered. We advocate that 3D Virtual Worlds technology can be used to facilitate human inclusion in a MAS system. In this demo we present an ...

Multi-Agent Systems (MAS) have been extensively used in the automation of manufacturing systems. However, similar to other distributed systems, autonomous agents’ interaction in the Automated Manufacturing Systems (AMS) can potentially lead to runtime behavioral failures including deadlocks. Deadlocks can cause major financial consequences by negatively affecting the production cost and time. A...

Social and organizational aspects of agency have become a major issue in the Multi-Agent Systems (MAS) domain. Recent applications of MAS on Web and Ambient Computing enforce the need of using these dimensions in the programming of MAS. The aim is to ensure the governance of such systems while preserving their decentralization and openness. In this talk, we present how multi-agent organisations...

In the past few years, the Multi-agent systems (MAS) area has presented an accelerated growth. New techniques and tools are constantly being proposed and several methodologies have been published to support the development of MAS. Most of these methodologies concentrate on the system analysis phase, giving almost no support for MAS implementation. Since agents can be seen as sort of specialized...

Viewing the modelling of agrifood chains (AFC) from a multi agent systems (MAS) point of view opens up numerous avenues for research while building upon existing advancements in the state of the art. This paper explores di↵erent aspects in MAS research areas in consensus and cooperation (argumentation, negotiation, normative systems, multi agent resource allocation and social a↵ects) and provid...

Multi-agent systems(MAS) are typical distributed systems. To model such a distributed system, a new definition and architecture for agent is proposed to be more appropriate for dynamic, open system’s analysis, design and implementation. The formal specification of these concepts is described. A MAS modelling methodology RoMAS based on these definitions is presented through RoboCup simulation fo...

Distribution is one of the essential features characterizing multi-agent systems (MASs), giving developers the opportunity to seamlessly conceive and then engineer a physically distributed application as a MAS spread among different network nodes. Nevertheless, the current support given by state-of-the-art Agent Programming Languages (APLs) and related platforms for programming distributed mult...

this paper studies the consensus problem of nonlinear leader-following multi-agent systems (mas). to do this, the error dynamics between the leader agent and follower ones are described via a takagi-sugeno (ts) fuzzy model. if the obtained ts fuzzy model is stable, then all of the nonlinear agents reach consensus. the consensus problem is investigated based on the parameterized or fuzzy lyapuno...

Modularity and rigor are two key elements for multi-agent technology. Hong Zhu’s multi-agent system (MAS) development method provides proper language facilities supporting modularity. To enhance this method with rigor advocates a DL method to map the specification of MAS into a DL TBox. Thus, we can use the existing DL reasoners and systems to verify and validate some system’s properties.