Specifying behaviors of physical multi-agent systems (MAS) – also called multi-robot systems – is a demanding task, especially when they are applied in safety critical applications. For this, formal methods based on mathematical models of the system under design are helpful. They allow us not only to formally specify the system at different levels of abstraction, but also to analyze the consist...

We discuss the relationship between the fields of statistical relational learning (SRL) and multi-agent systems (MAS). We identify a number of SRL research problems that have analogies in MAS research, and vice-versa, and suggest how research from each area can be leveraged to provide solutions for the other.

An attempt has been made in this paper to reveal the latest applications of Multi-Agent Systems(MAS) in operation and control of Smart Grid. Major applications available in literature are elaborated and at the end, based on the inference of article future scope in applications of MAS in Smart Grid is discussed.

Multi-Agent System (MAS) is an interesting way to create models and simulators and is widely used to model complex systems. As the complex system community tends to build up larger models to fully represent real systems, the need for computing power raise significantly. Thus MAS often lead to long computing intensive simulations. Parallelizing such a simulation is complex and it execution requi...

The goal of the research was to observe and analyze self-organization patterns in Multi-Agent Systems (MAS) by modeling basic economic relationships between agents forming a closed loop of relations necessary for their survival. The paper describes a worked-out MAS including an example of a production cycle and used economic rules. A special focus is put on behavior rules and decision systems o...

This paper discusses the implementation and run-time support for Multi-Agent Systems (MAS). We start presenting MAS in the context of Open Distributed Processing (ODP). Next, a model of a cog-nitive agent being currently developed at LIFIA is detailed. Taking this model as reference, we examine alternatives for supporting cognitive agents in distributed and heterogeneous environments. Finally, ...

Capitalising and diffusing experience about multiagent systems are two key mechanisms the classical approach of methods and tools can’t address. Our hypothesis is that, among available techniques that collect and formalise experience, design patterns are the most able technique allowing to express the agent concepts and to adapt itself to the various MAS developing problems. In this paper, we p...

This paper outlines ORCAS, a framework for open Multi-Agent Systems (MAS) that maximizes the reuse of agent capabilities through multiple application domains, and supports the automatic, on-demand configuration of agent teams according to stated problem requirements. Considerable effort has been devoted to the applicability of the framework, which resulted in the implementation of an infrastruc...

Simulation of multi-agent systems (MAS) can be an effective technique for generating randomized compositions out of primitive picture elements. This report presents a complete implementation of a MAS for creating rule-based hierarchical arrangements of 3D objects in a plane and identifies some associated technical challenges, such as attaining good performance and usability.

Whether an agent can be a collection of several interacting agents, a hierarchy, or some other type of organization? We believe that several difficult challenges for automated systems can be tackled by giving full meaning to the MAS concept: adopting a recursive definition of agents. In this work, we propose a definition of MAS beliefs in terms of its constituent agents' beliefs.