Supporting Multi-agent Coordination and Computational Collective Intelligence in Enterprise 2.0 Platform

TitleSupporting Multi-agent Coordination and Computational Collective Intelligence in Enterprise 2.0 Platform
Publication TypeJournal Article
Year of Publication2017
AuthorsReguieg, S., and N. Taghezout
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueRegular Issue
Volume4
Number6
Date Published12/2017
Pagination70-80
Abstract

In this paper, we propose a novel approach utilizing a professional Social network (Pro Social Network) and a new coordination protocol (CordiNet). Our motivation behind this article is to convince Small and Medium Enterprises managers that current organizations have chosen to use Enterprise 2.0 tools because these latter have demonstrated remarkable innovation as well as successful collaboration and collective intelligence. The particularity of our work is that is allows employer to share diagnosis and fault repair procedures on the basis of some modeling agents. In fact, each enterprise is represented by a container of agents to ensure a secured and confidential information exchange between intra employers, and a central main container to connect all enterprises’ containers for a social information exchange. Enterprise’s container consists of a Checker Enterprise Agent (ChEA), a Coordinator Enterprise Agent (CoEA) and a Search Enterprise Agent (SeEA). Whereas the central main container comprises its proper agents such as Selection Agent (SA), and a Supervisor Agent (SuA). JADE platform is used to allow agents to communicate and collaborate. The FIPA-ACL performatives have been extended for this purpose. We conduct some experiments to demonstrate the feasibility of our approach.

KeywordsCollaboration, Collective Intelligence, Coordination Protocol, Enterprise 2.0, Multi-Agent Systems, Social Network
DOI10.9781/ijimai.2017.07.001
URLhttp://www.ijimai.org/journal/sites/default/files/files/2017/07/ijimai20174_6_10_pdf_13892.pdf
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ijimai20174_6_10.pdf2.04 MB