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Title: A Multi-Agent System Model for Partner Selection Process in Virtual Enterprise
Authors: Sadigh, B. Lotfi
Arıkan, F.
Özbayoğlu, Ahmet Murat
Ünver, Hakkı Özgür
Kılıç, S. E.
Keywords: Multi-agent systems
virtual enterprise
learning agents
Issue Date: 2014
Publisher: ELSEVIER Science BV
Source: Sadigh, B. L., Arikan, F., Ozbayoglu, A. M., Unver, H. O., & Kilic, S. E. (2014). A multi-agent system model for partner selection process in virtual enterprise. Procedia Computer Science, 36, 367-372.
Abstract: Virtual Enterprise (VE) is a collaboration model between multiple business partners in a value chain. VE information system deals with highly dynamic information from heterogeneous data sources. In order to manage and store dynamic VE information in the database, an ontology based VE model has been developed. To select winner enterprises in VE, a Multi Agent System (MAS) has been developed. Communication and data transition among agents and system entities are based on defined rules in VE ontology model. One of the most important contributions of agents in VE system is in partner selection step of VE formation phase. In this step several agents with different goals and strategies are collaborating and competing each other to win the negotiation procedure or maximize the profit for their assigned enterprise. Different strategies are developed for the agents depending on their appetite for winning the auction against maximizing the profit. Several simulations were run and the results are stored. These results are fed into a neural network in order to predict which enterprise will win the auction and what will be the profit margin. The motivation is to provide a forecasting agent for the customers about the outcomes of the auctions so that they can plan ahead and take the necessary action. Early results indicate such simulated multi-agent VE formations can be used in real systems. A Multi-Agent System Model for Partner Selection Process in Virtual Enterprise (C) 2014 Published by Elsevier B.V.
Description: Conference on Conquering Complexity - Challenges and Opportunities (2014 : Philadelphia, PA)
ISSN: 1877-0509
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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