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...

Multi-agent systems (MASs) provide powerful models for representing real-world applications with an appropriate degree of complexity and dynamism. Several industrial experiences have already shown that the use of MAS offers advantages in many different areas such as manufacturing processes, e-Commerce, network management, etc. As MASs in such contexts need to be tested before their deployment a...

Recently mobile agent technology has been recognised as a potential tool for realising distributed network fault management. The autonomy and mobility of such agents can help ensuring robustness of the management system. A mobile agent is dependent on a suitable environment consisting of a set of mobile agent systems (MAS) of compatible system types. In this paper we examine what failure semant...

Advanced approaches to the construction of software systems can present difficulties to learners. This is true for multi-agent systems (MAS) which exhibit concurrency, non-determinacy of structure and composition and sometimes emergent behavior characteristics. Additional barriers exist for learners in MAS because mainstream MAS technology is young and design methodologies are still evolving. T...

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....

An approach to the pre-runtime design of normative systems for problem-solving multi-agent systems (MAS) is suggested. A key element of this approach is to employ evolutionary mechanisms to evolve efficient normative systems. To illustrate, a genetic algoritm is used in the process of designing a normative system for an example MAS based on the Dalmas architecture for normregulated MAS. It is d...

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One aspect of multi-agent systems (MAS) that has been only partially studied is their role in software engineering, and in particular their merit as a software architecture style. As we demonstrate, multi-agent systems developed to date have several common architectural characteristics, even though differences in their design and implementation result in variations in their strengths and weakne...

Multi-Agent Systems (MAS) have become increasingly mature, but this maturity does not make the traditional Object Oriented (OO) approaches obsolete. On the contrary, building MAS in combination with OO constructs allows the reuse of existing components. Similarly, OO methodologies can benefit from extension towards an agent abstraction and so make use of the methods and tools for MAS. The Agent...