Advances in agent technology depend on improving frameworks for building and supporting agent societies. Experience suggests that first generation multi-agent systems fall short of providing a rapid prototyping development environment for the systematic construction and deployment of agent-oriented applications. While at least sixty[1] different agent systems have been implemented, few efforts ...

Machine learning is a major branch of AI and a main research direction of multi-agent systems (MAS). With the emergence of various new complex systems, agent’s individual ability and the system’s intelligence level are urgently to be improved. Agent learning methods and agent architecture are studied in this paper and a new hybrid intelligent learning algorithm based on multi-agent is proposed....

Multi-agent systems (MAS) are rapidly emerging as a powerful paradigm for modeling and developing distributed information systems. In an open multi-agent system, agents can not only join or leave an agent society at will, but also take or release roles dynamically. Most of existing work on MAS uses role modeling for system analysis; however, role models are only used at conceptual level with no...

“Resilience” describes how systems operate at an acceptable level of normalcy despite disturbances or threats. In this paper we first consider the interdependencies inherent in critical infrastructure systems and how resilience mitigates associated risks and then define “resilience” in distinction from convention control engineering. We then introduce the concepts “agent” and “multi-agent syste...

Coordination infrastructures have played a central role in the engineering of multi-agent systems (MAS). Although MAS research has produced a number of notable coordination infrastructures of varying features, these have been mainly conceived to host software agents and to facilitate multi-agent programming. Thus, human agents have been mostly kept out of the picture, hence hindering the use of...

The importance and attraction of the Multi-Agent System (MAS) topic are increased, nowadays. The techniques for the modeling of such systems are indivisible part of their software processes. They have to be applied with emphasis on the special requirements or properties of Multi-Agent Systems, e.g. autonomy of elements, intelligence of elements. This paper describes the ideas and methods to mod...

This paper presents the usage of Multi-Agent Systems (MAS) in ecommerce. First some of the first simple search agents like BargainFinder, Jango and one of the first Multi-Agent Systems, Kasbah are shortly presented. Then four auction types, which are often used in MAS for the negotiation are described. Next a MAS is presented, whose prototype is implemented in JADE, together with some modificat...

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Multi-Agent Systems (MAS) architectures are gaining popularity over traditional ones for building open, distributed, and evolving software required by today’s corporate IT applications such as eBusiness systems, web services or enterprise knowledge bases. Since the fundamental concepts of multi-agent systems are social and intentional rather than object, functional, or implementation-oriented, ...