Multi-Agent Systems (MAS) has evolved towards the specification of global constraints that heterogeneous and autonomous agents are supposed to follow when concerning open systems. A subset of these constraints is known as the MAS organisation. This article describes a set of computational tools that supports the development and the programming of such systems. At the system level, it is provide...

Multi-agent systems methodologies de ne tasks and tools covering all the development cycle. Modelling and implementation activities are well supported and experimented. However, there has been few e ort invested in debugging and validation techniques for MAS compared to modelling and implementation stages. This paper addresses the lack of tools to debug and validate a MAS. We propose a visual t...

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 systems (MAS) offer new perspectives compared to conventional, centrally organised architectures in the scope of supply chain management (SCM). Their structure inherently meets the requirements of decentralised supply chains, whereas conventional SCM systems are often restricted in terms of dynamic behaviour, handling severe disturbances at supplier sites as well as dealing with hig...

Current trends in software development are increasingly reasoning about software applications in terms of multi-agent systems (MAS). However, the development of multi-agent applications is still a technically difficult task. One of the main barriers is the lack of comprehensive design practices to move systematically from problem analysis and agent models to effective implementations. This work...

Simulation is an important tool for designers of multi-agent systems allowing them to learn more about the behaviour of a system or to investigate the implications of alternative agent architectures. A key issue for agent simulation is that of scalability, as agents are themselves often complex systems (e.g., with sensing, planning, inference etc. capabilities), requiring considerable computati...

Despite the considerable efforts researching and developing Multi-Agent Systems (MAS) there is a noticeable absence of deployed systems. In the past the MAS research community ignored this problem arguing that it is not a genuine MAS problem and consequently of lesser importance than other unsolved issues like cooperation, coordination, negotiation and communication. However, as the field matur...

Currently multi-agent systems (MAS, sometimes MASs) are receiving great attention as a promising approach for modeling, designing, and developing complex, decentralized and large-scale software systems. The captivating characteristics they provide such as decentralization, dynamic reorganization, self-organization, emergence, autonomy, etc., make them a perfect solution for handling current sof...

This work analyses the problematic of debugging a multiagent system. It starts from the fact that MAS are a particular type of distributed systems in which the active entities are autonomous in the sense that behavior and knowledge of the whole system is distributed among agents. It situates the problem by firstly studying the classical approaches for conventional code debugging and also the te...