Graph theory to evaluate communication in industrial multiagent systems. (18th July 2011)

• Record Type: Journal Article
• Authors: Ben Hmida, Faten; Lejouad Chaari, Wided; Tagina, Moncef
• Is Part Of: International journal of intelligent information and database systems. Volume 5:Number 4(2011)
• Page Start: 361
• Page End: 388
• Publication Date: 2011-07-18
• Subjects: multi-agent systems -- MAS -- agent-based systems -- performance evaluation -- performance measurement -- graph theory -- communication networks -- industrial applications -- diagnosis -- communications; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

Industrial systems are complex, distributed and need high-quality tools for their control and monitoring. Although, multiagent systems (MAS) are well adapted to such applications, there is still a gap between academic research on MAS and their potential use on a large scale as in industry. Such domain, with important economic stakes, requires high-performance and reliable applications. However, performance issues were rarely discussed in multiagent environments; the existing works focus only on evaluation of multiagent design methodologies and development platforms. In this paper, we identify, among the MAS features, those that make them suitable to industrial applications. Then, we give an overview on MAS evaluation and we propose a measurement model based on the graph theory to analyse several communication facets in MAS. An experimentation is carried out on two architectures of a multiagent diagnosis application. The comparison of the results points out the correlation between the measurement model and the communication network.