Abstract
Agent-based online negotiation by different autonomous agents has become radically important since the advent of e-business. Due to recent growing interest in the electronic marketplace, scientists are developing numerous models of inter-organizational electronic commerce. Most of the negotiation processes are complicated and time consuming. In this paper, we develop an intelligent negotiation model based on fuzzy constraints for bilateral multi-issue negotiation in business environments. The proposed model consists of two agents. The Information Agent (IA) is trained by the Knowledge Base (KB) and Negotiator Agent (NA) caries out the negotiation process. The aim of the NA in this model is to reach mutual agreement effectively and intelligently, while both agents are able to learn from the environment. The negotiation process is driven by fuzzy logic, considering the agent’s satisfaction within e-commerce system framework. In this paper, the system uses the KB before starting the negotiation process. Additionally, the KB is used, in different negotiation stages, to train fuzzy constraints for carrying out negotiations. We propose an equation that incorporates qualitative and quantitative characteristics to generate the next offering price in the negotiation. The Fuzzy Rule base is responsible for generating a rational value. This rational value, based on fuzzy constraints, controls the agent’s satisfaction level.
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References
Cheng, C.B., Chan, C.C.H., Lin, K.C.: Intelligent agents for e-marketplace: Negotiation with issue trade-offs by fuzzy inference systems. Decision Support Systems 42, 626–638 (2006)
Ateib, M.T.: Agent based negotiation in e-commerce. In: Proc. ITSim, IEEE Trans., Malaysia, pp. 861–868 (2010)
Al-Ashmaway, W.H., El-Sisi, Nassar, H.M., Ismail, N.A.: Bilateral agent negotiation based on fuzzy logic. IEEE Trans., Egyptian Computer Science Journal 27, 64–69 (2007)
Tsvetovatyy, M., Gini, M., Mobasher, B., Wieckowski, Z.: MAGMA: An agent-based virtual market for electronic commerce. Journal of Applied Artificial Intelligence 6, 501–524 (1997)
Rajasekaran, S., Vijayalakshmi, G.A.: Neural Networks, Fuzzy Logic, and Generic algorithms synthesis and applications, pp. 211–212. Prentice-Hall of India Private Limited, India (2003)
Huang, P., Sycara, K.: A computational model for online agent negotiation. In: Proc. of the 35th HICSS 2002, pp. 438–444. IEEE Xplore (2002)
Arapoglou, R., Kolomvatsos, K., Hadjiefthymiades, S.: Buyer agent decision process based on automatic fuzzy rules generation methods. IEEE Trans., Fuzzy Systems (FUZZ), 1–8 (2010)
de Paula, G.E., Ramos, F.S., Ramalho, G.L.: Bilateral negotiation model for agent-mediated electronic commerce. In: Dignum, F.P.M., Cortés, U. (eds.) AMEC 2000. LNCS (LNAI), vol. 2003, pp. 1–14. Springer, Heidelberg (2001)
Huang, C.C., Liang, W.Y., Lai, Y.H., Lin, Y.C.: The agent-based negotiation process for B2C e-commerce. Journal of Expert Systems with Applications 37, 348–359 (2010)
Lin, L., Lo, W., Yan, M.R.: Bargaining strategies for construction joint ventures by fuzzy logic. In: Proc. of the 9th Joint Conference on Information Sciences, Taiwan (2006)
Bergenti, F., Poggi, A.: An agent-based approach of negotiation protocols in Rexible CSCW systems. In: Proc. of the 4th International Conf. on Autonomous Agents, Spain, pp. 267–268 (2000)
Yan, Z., Fong, S., Meilin, S.: Knowledge-Empowered agent negotiation for electronic commerce with knowledge beads. IEEE Trans., Information and Communication Technology, 633 (2005)
Fong, S., Yan, Z.: Enabling agent negotiation in e-Trading environments through knowledge beads. In: IEEE International Conference on Intelligent Engineering Systems (2002)
Karim, M.S.: Neuro-fuzzy hybrid negotiation model for intelligent agents in an electronic marketplace. In: Proc. of the ICISTM 2007, India, pp. 224–229 (2007)
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Karim, M.S., Pierluissi, J. (2013). Fuzzy Driven Multi-issue Agent Negotiation on Electronic Marketplace. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 178. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31600-5_24
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DOI: https://doi.org/10.1007/978-3-642-31600-5_24
Publisher Name: Springer, Berlin, Heidelberg
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