A Multi-agent System for Group Decision Support Based on Conflict Resolution Styles

2017 ◽  
pp. 134-148 ◽  
Author(s):  
Silvia Rossi ◽  
Claudia Di Napoli ◽  
Francesco Barile ◽  
Luca Liguori
Keyword(s):  
Conflict Resolution ◽  
Decision Support ◽  
Group Decision ◽  
Group Decision Support ◽  
Multi Agent System ◽  
Agent System ◽  
Conflict Resolution Styles ◽  
Multi Agent

Construction of Industrial Strategy Model Based on the Multi-Agent

2013 ◽  
Vol 765-767 ◽  
pp. 3277-3281
Author(s):  
Ya Dong Zhu
Keyword(s):  
Decision Support ◽  
Strategic Management ◽  
Support System ◽  
Group Decision ◽  
Intelligent Agent ◽  
Group Decision Support ◽  
Multi Agent System ◽  
Group Decision Support System ◽  
Strategy Model ◽  
Multi Agent

In this paper, considering the complexity of the industrial strategy and uncertainty of the environment, Multi-agent system based on intelligent agent is put forward, and the model to be used in industrial strategic management and group decision support system is constructed.

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.

A multi-agent system for meteorological radar data management and decision support

2009 ◽  
Vol 24 (11) ◽  
pp. 1264-1273 ◽  
Author(s):  
Ioannis N. Athanasiadis ◽  
Marios Milis ◽  
Pericles A. Mitkas ◽  
Silas C. Michaelides
Keyword(s):  
Decision Support ◽  
Data Management ◽  
Radar Data ◽  
Multi Agent System ◽  
Agent System ◽  
Multi Agent ◽  
Meteorological Radar
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