Current business trends, policy markets, production requirements, etc., have created the need for integrating Multi Agent Systems (MAS). In the agent-specialized literature, we have found very little work about MAS methodologies that allow us to build MAS which is made up of two or more MASs. We think that several difficult challenges for automated systems can be tackled by giving full meaning ...

Current business trends, policy markets, production requirements, etc., have created the need for integrating Multi Agent Systems (MAS). In the agent-specialized literature, we have found very little work about MAS methodologies that allow us to build MAS which is made up of two or more MASs. We think that several difficult challenges for automated systems can be tackled by giving full meaning ...

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...

Modeling interactions between agents and the Multi-Agent System (MAS) behavior based on role based collaboration among the participating agents are the key factors to design of effective MAS dynamics. In this paper, a High level Multi Agent Petri Net called HMAP has been proposed which is capable of describing, analyzing and modeling dynamics of such MAS which are characterized as asynchronous,...

In this paper some results achieved in the domain of multi-agent methodology applied to educational systems are presented. We have developed a distance learning environment based on a two-level multi-agent architecture. Two-levels are distinguished since the application is composed by two multi-agent systems (MAS). The higher-level MAS is composed of cognitive agents, which provide the main fun...

this paper is concerned with the consensus tracking problem of high order mimo nonlinear multi-agent systems. the agents must follow a leader node in presence of unknown dynamics and uncertain external disturbances. the communication network topology of agents is assumed to be a fixed undirected graph. a distributed adaptive control method is proposed to solve the consensus problem utilizing re...

Multi Agent Systems (MAS) have been experimented in building a variety of applications. Several agent-building tools are available to assist the tasks of building agentbased systems. However the issues of how to visualize and monitor the behaviors, and to analyze the performance of in-service agents have largely not been addressed. This paper describes the system we have developed for visualizi...

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.

Multi-agent systems (MAS) represent an effective approach for designing and constructing collaborative applications, designed as set of autonomous entities, named agents, which interact and coordinate. Some example of references on multi-agent systems are: [1], [2] [3]. Although multi-agent systems provide an effective approach for decentralized applications, they still need to better address t...

This aim of this paper is to present the Multi-Agent Systems. Later is presented ALLEGRO: A Teaching/Learning Multi-Agent Environment. ALLEGRO is an intelligent environment that includes artificial intelligence mechanisms (Instructional Planning IP, Cased-Based Reasoning CBR, Multi-Agent Systems MAS, Intelligent Tutoring Systems ITS, and Computer Supported Collaborative Learning CSCL).