An Approach on Multilateral Automated Negotiation

Abstract In E-commerce, numbers of transactions are increasing day by day in B2B and B2C trade. Online negotiation is possible because of automated negotiation. In this paper, we propose linear programming and pattern matching based multilateral automated negotiation system and study some multilateral system with several methods. We have studied fuzzy inference logic based system, multithreading based automated negotiation system, linear programming based system and genetic algorithm based system and we have compared some methods of automated negotiation. Multilateral negotiation system gives better result to participant than bilateral automated negotiation. Technique of pattern matching based automated negotiation gives fast result and reduces overhead of calculation.

[1]  Amruta More,et al.  Agent Based Negotiation using Cloud - an Approach in E-Commerce , 2013, ArXiv.

[2]  Sarit Kraus,et al.  GENIUS: AN INTEGRATED ENVIRONMENT FOR SUPPORTING THE DESIGN OF GENERIC AUTOMATED NEGOTIATORS , 2012, Comput. Intell..

[3]  Sung-Bong Yang,et al.  An Automated System based on Incremental Learning with Applicability Toward Multilateral Negotiations , 2006, 2006 SICE-ICASE International Joint Conference.

[4]  Sheetal Vij,et al.  Negotiation Life Cycle: An Approach in E-Negotiation with Prediction , 2014 .

[5]  Nicholas R. Jennings,et al.  Designing Responsive and Deliberative Automated Negotiators , 1999, AAAI 1999.

[6]  Christophe Labreuche,et al.  A multilateral multi-issue negotiation protocol , 2007, AAMAS '07.

[7]  Sarit Kraus,et al.  Automated Negotiation and Decision Making in Multiagent Environments , 2001, EASSS.

[8]  Marjan Kuchaki Rafsanjani,et al.  A fuzzy system approach to multilateral automated negotiation in B2C e-commerce , 2014, Neural Computing and Applications.

[9]  Ricardo Buettner,et al.  A Classification Structure for Automated Negotiations , 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops.

[10]  Frank Teuteberg,et al.  FuzzyMAN: An Agent-Based Electronic Marketplace with a Multilateral Negotiation Protocol , 2004, MATES.

[11]  Karl Kurbel,et al.  Automated Negotiation on Agent-Based e-Marketplaces: An Overview , 2001, Bled eConference.

[12]  Ulrich Endriss,et al.  Monotonic concession protocols for multilateral negotiation , 2006, AAMAS '06.

[13]  Sheetal Vij,et al.  An Architecture for Multilateral Automated Negotiation: AMAN , 2014 .

[14]  Bart J. Wilson,et al.  A Comparison of Auctions and Multilateral Negotiations , 2002 .

[15]  Shijun Liu,et al.  A Win-Win Multi-issue Service Negotiation Model Based on Bayesian Learning , 2013, 2013 International Conference on Cloud Computing and Big Data.

[16]  Sheetal Vij,et al.  Intelligent Agent for Prediction in E-Negotiation: An Approach , 2013, 2013 International Conference on Cloud & Ubiquitous Computing & Emerging Technologies.

[17]  Koen V. Hindriks,et al.  Predicting the Performance of Opponent Models in Automated Negotiation , 2013, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

[18]  Sheetal Vij,et al.  Automated Negotiation And Behavior Prediction , 2013 .

[19]  Debajyoti Mukhopadhyay,et al.  HENRI: high efficiency negotiation-based robust interface for multi-party multi-issue negotiation over the internet , 2012, CUBE.

[20]  Sung-Bong Yang,et al.  An efficient multilateral negotiation system for pervasive computing environments , 2008, Eng. Appl. Artif. Intell..