Simulation Based Design for Adaptive Multi-Agent Systems with the ADELFE Methodology

2015 ◽  
Vol 7 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Wafa Mefteh ◽  
Frédéric Migeon ◽  
Marie-Pierre Gleizes ◽  
Faiez Gargouri
Keyword(s):  
Complex Systems ◽  
Large Mass ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent Behavior ◽  
Simulation Techniques ◽  
Simulation Based Design ◽  
Model Complex ◽  
Simulation Based ◽  
Multi Agent

Complex systems are qualified by the heterogeneity of the involved actors, the large mass of data, the distribution of the manipulated information and the dynamic of the environment in which they are immersed. Designing such systems necessitate theory and methodology. This paper is situated in the AMAS theory and the ADELFE methodology. The AMAS theory (Adaptive Multi-Agent System) was proposed to model complex systems. The ADELFE methodology was proposed to guide the AMAS designer. Building AMAS systems is not an easy task. The objective of the authors' work is to make the task of the AMAS designer less difficult. This paper details two main contributions that the authors proposed in this field. The first contribution consists in improving the ADELFE methodology by simulation techniques. The second contribution consists in enhancing the AMAS agent behavior by giving it the ability to self-design.

Simulation-based design and evaluation of multi-agent systems

2010 ◽  
Vol 18 (10) ◽  
pp. 1425-1427 ◽  
Author(s):  
Massimo Cossentino ◽  
Giancarlo Fortino ◽  
Marie-Pierre Gleizes ◽  
Juan Pavón
Keyword(s):  
Multi Agent Systems ◽  
Agent Systems ◽  
Simulation Based Design ◽  
Simulation Based ◽  
Multi Agent

scholarly journals Distributed Adaptive Formation Tracking Control under Fixed and Switching Topologies: Application on General Linear Multi-Agent Systems

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 941
Author(s):  
Tianhao Sun ◽  
Huiying Liu ◽  
Yongming Yao ◽  
Tianyu Li ◽  
Zhibo Cheng
Keyword(s):  
Switching Topology ◽  
General Linear ◽  
Time Varying ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Switching Topologies ◽  
Formation Tracking ◽  
Leader Following ◽  
Multi Agent

In this paper, the time-varying formation tracking problem of the general linear multi-agent system is discussed. A distributed formation tracking protocol based on Riccati inequalities with adaptive coupling weights among the follower agents and the leader agent is designed for a leader-following multi-agent system under fixed and switching topologies. The formation configuration involved in this paper is expressed as a bounded piecewise continuously differentiable vector function. The follower agents will achieve the desired formation tracking trajectory of the leader. In traditional static protocols, the coupling weights depend on the communication topology and is a constant. However, in this paper, the coupling weights are updated by the state errors among the neighboring agents. Moreover, the stability analysis of the MAS under switching topology is presented, and proves that the followers also could achieve pre-specified time-varying formation, if the communication graph is jointly connected. Two numerical simulations indicate the capabilities of the algorithms.

scholarly journals ADAPTABLE MULTI-AGENT SYSTEMS: THE CASE OF THE GAIA METHODOLOGY

2011 ◽  
Vol 21 (04) ◽  
pp. 491-521 ◽  
Author(s):  
LUCA CERNUZZI ◽  
AMBRA MOLESINI ◽  
ANDREA OMICINI ◽  
FRANCO ZAMBONELLI
Keyword(s):  
Specific Problem ◽  
Software Systems ◽  
Multi Agent System ◽  
Model Design ◽  
Multi Agent Systems ◽  
Operational Environment ◽  
Overall Design ◽  
Multi Agent ◽  
Local Impact ◽  
Illustrative Application

Changes and adaptations are always necessary after the deployment of a multi-agent system (MAS), as well as of any other type of software systems. Some of these changes may be simply perfective and have local impact only. However, adaptive changes to meet new situations in the operational environment of the MAS may impact globally on the overall design. More specifically, those changes usually affect the organizational structure of the MAS. In this paper we analyze the issue of design change/adaptation in a MAS organization, and the specific problem of how to properly model/design a MAS so as to make it ready for adaptation. Special attention is paid to the Gaia methodology, whose suitability in dealing with adaptable MAS organizations is also discussed with the help of an illustrative application example.

Management of virtual organizations based on multi-agent systems

2021 ◽  
pp. 95-99
Author(s):  
A.V. Babikova ◽  
◽  
V. S. Samoylenko ◽  
A. Yu. Fedotova ◽  
A.V. Khanina ◽  
...  
Keyword(s):  
Information Technologies ◽  
Virtual Organizations ◽  
Management Systems ◽  
Multi Agent System ◽  
Business Organization ◽  
Multi Agent Systems ◽  
Management Processes ◽  
Self Development ◽  
Multi Agent ◽  
Virtual Structures

The emergence of new forms of business organization due to the development of the latest information technologies leads to the need to find adequate ways to manage virtual structures. This article discusses the features of multi-agent artificial intelligence systems and the possibilities of their application in virtual organizations. The concept of a multi-agent system is proposed, which will improve the management processes of a virtual organization. The developed algorithm is adaptive and can be used in various virtual organizations for self-development of their management systems and achieving their goals.

scholarly journals Formation behaviors of networks with antagonistic interactions of agents

2017 ◽  
Vol 13 (8) ◽  
pp. 155014771772629 ◽  
Author(s):  
Wen-Lu Zou ◽  
Gun Li
Keyword(s):  
Time Delay ◽  
Frequency Domain Analysis ◽  
Necessary Condition ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Formation Behavior ◽  
Multi Agent ◽  
Group Form ◽  
Sufficient And Necessary Condition ◽  
Antagonistic Interactions

In this study, a new formation behavior problem for second-order multi-agent systems with time delay is investigated in the presence of antagonistic interactions. We first proposed a formation behavior protocol with time delay for each agent in the antagonistic network. Then, by a frequency-domain analysis, a sufficient and necessary condition is derived to guarantee the consensus stability of the multi-agent system. It is shown that the agents in the same group form their own desired formation while keeping a desired relative position with other groups. Finally, numerical simulations are provided to illustrate the obtained results.

scholarly journals Use of the Multi-Agent Paradigm in Sustainable Tourism

2018 ◽  
Vol 7 (1) ◽  
pp. 5-24 ◽  
Author(s):  
Martina Husáková
Keyword(s):  
Complex Systems ◽  
Sustainable Tourism ◽  
Multi Agent Systems ◽  
Economic Prosperity ◽  
Cultural Economic ◽  
Bottom Up ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent ◽  
In Silico Models

Abstract Complex systems are characterised by a huge amount of components, which are highly linked with each other. Tourism is one of the examples of complex systems collecting various activities leading to the enrichment of travellers in the view of receiving new experiences and increasing economic prosperity of specific destinations. The complex systems can be investigated with various bottom-up and top-down approaches. The multi-agent-based modelling is the bottom-up approach that is focused on the representation of individual entities for the exploration of possible interactions among them and their effects on surrounding environments. These systems are able to integrate knowledge of socio-cultural, economic, physical, biological or environmental systems for in-silico models development, which can be used for experimentation with a system. The main aim of the presented text is to introduce links between tourism, complexity and to advocate usefulness of the multi-agent-based systems for the exploration of tourism and its sustainability. The evaluation of suitability of the multi-agent systems in tourism is based on the investigation of fundamental characteristics of these two systems and on the review of specific applications of the multi-agent systems in sustainable tourism.

Foraging Multi-Agent System Simulation Based on Attachment Theory

2015 ◽  
pp. 359-364 ◽  
Author(s):  
Carlos Alberto Riveros Varela ◽  
Ferney Beltrán Velandia ◽  
Miguel Alberto Melgarejo Rey ◽  
Nadya González Romero ◽  
Nelson Obregón Neira
Keyword(s):  
Attachment Theory ◽  
System Simulation ◽  
Multi Agent System ◽  
Agent System ◽  
Simulation Based ◽  
Multi Agent

A Clustering Approach Based on Cooperative Agents to Improve Decision Support in ERP

2019 ◽  
pp. 1-18
Author(s):  
Nadjib Mesbahi ◽  
Okba Kazar ◽  
Saber Benharzallah ◽  
Merouane Zoubeidi ◽  
Djamil Rezki
Keyword(s):  
Decision Support ◽  
Intelligent Systems ◽  
Multi Agent System ◽  
Multi Agent Systems ◽  
Agent System ◽  
Cooperative Agents ◽  
Distributed Problem Solving ◽  
Multi Agent ◽  
Complete Set ◽  
Clustering Approach

Multi-agent systems (MAS) are a powerful technology for the design and implementation of autonomous intelligent systems that can handle distributed problem solving in a complex environment. This technology has played an important role in the development of data mining systems in the last decade, the purpose of which is to promote the extraction of information and knowledge from a large database and to make these systems more scalable. In this chapter, the authors present a clustering system based on cooperative agents through a centralized and common ERP database to improve decision support in ERP systems. To achieve this, they use multi-agent system paradigm to distribute the complexity of k-means algorithm in several autonomous entities called agents, whose goal is to group records or observations on similar objects classes. This will help business decision makers to make good decisions and provide a very good response time by the use of the multi-agent system. To implement the proposed architecture, it is more convenient to use the JADE platform while providing a complete set of services and have agents comply with the specifications FIPA.

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