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Reseach Article

Adaptive Negotiation Strategies

by Deepika Pandey, Pankaj Kumar, Raj Gaurang Tiwari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 10
Year of Publication: 2017
Authors: Deepika Pandey, Pankaj Kumar, Raj Gaurang Tiwari
10.5120/ijca2017914132

Deepika Pandey, Pankaj Kumar, Raj Gaurang Tiwari . Adaptive Negotiation Strategies. International Journal of Computer Applications. 166, 10 ( May 2017), 21-30. DOI=10.5120/ijca2017914132

@article{ 10.5120/ijca2017914132,
author = { Deepika Pandey, Pankaj Kumar, Raj Gaurang Tiwari },
title = { Adaptive Negotiation Strategies },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 10 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 21-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number10/27706-2017914132/ },
doi = { 10.5120/ijca2017914132 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:13:20.665767+05:30
%A Deepika Pandey
%A Pankaj Kumar
%A Raj Gaurang Tiwari
%T Adaptive Negotiation Strategies
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 10
%P 21-30
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Adaptive negotiation strategies are the strategies that are used in the adaptive negotiation model. There are mainly three adaptive negotiation strategies Conceder, Constant, Boulware. These strategies depend upon the utility function and time deadline. The Adaptive negotiation strategies describes the behaviour of the buyer or the nature of the buyer. The nature of buyer depends on the experiences which are taken from seller’s offered price. After observing the past experiences the buyer will negotiate the price and the negotiation takes place.

References
  1. “Negotiation Etymology” Online Etymology Dictionary. Retrieved May 11, 2014.
  2. Fisher , Roger; Ury, William(1984). Patton, Bruce, ed. getting to yes: negotiating agreement without giving in (Reprint ed.). New York: Penguin Books. ISBN 0140065342.
  3. Barry, B.; Fulmer, I.S.; and Van Kleef, G.A. (2004) “I laughed, I cried, I settled: The role of emotion in negotiation”. In M.J.Gelfand and J.M Brett (Eds.), The handbook of negotiation and culcute (pp. 71-94). Stanford, Calif.: Stanford University Press.
  4. D.C.Moosmayer et al. / Expert Systems with Applications 40 (2013) 3028-3035.
  5. M. Cao et al. /Decision Support Systems 73 (2015) 1-14.
  6. T.D.Nguyen, N.R. Jennings, Managing commitments in multiple concurrent negotiations, Electronic Commerce Research and Applications 4(4) (2006) 362-376.
  7. Miguel A. Lopez-Carmona, Ivan Marsa-Maestre and Mark Klein. Consensus Policy Based Multi-Agent Negotiation. ANAC (2011).
  8. Mikoto Okumura, Katsuhide Fujita. Implementation of Collective Collaboration Support System based on Automated Multi-Agent Negotiation. ANAC (2011).
  9. Ivan Marsa-Maestre, Miguel A. Lopez-Carmona and Mark Klein. A Scenario Generation Framework for Consistent Comparison of Negotiation Approaches. ANAC (2011).
  10. Moustapha Tahir Ateib. Agent Based Negotiation In E-commerce.978-1-4244-6716-7/101 IEEE (2010).
  11. Yan Kong, Minjie Zhang, Xudong Luo, Dayong Ye. A Negotiation Method for Task Allocation with Time Constraints in Open Grid Environments. ANAC (2013).
  12. Hsin Rau, Chao-Wen Chen, and Wei-Jung Shiang. Development of an Agent-based Negotiation Model for Buyer-supplier Relationship with Multiple Deliveries. 978-1-42443492-3/09 IEEE (2009).
  13. Debajyoti Mukhopadhyay, Sheetal Vij, and Suyog Tasare. NAAS: Negotiation Automation Architecture with Buyer’s Behaviour Pattern Prediction Component; Springer-Verlag, Germany; pp.425-434; ISSN 1867-5662, ISBN 978-3-642-31513-8. (2012).
  14. Saurabh Deochake, Shashank Kanth, Subhadip Chakraborty, Suresh Sarode, Vidyasagar Potdar Debajyoti Mukhopadhyay. HENRI: High Efficiency Negotiation-based Robust Interface for Multi-party Multi-issue Negotiation over the Internet; ACM Digital Library, USA; pp.647-652; ISBN 978-1-4503-1185-4. (2012).
  15. Bachrach, D. G., & Bendoly, E. (2011). Rigor in behavioural experiments — a basic primer for supply chain management researchers. Journal of Supply Chain Management, 47(3), 5–8.
  16. Bakar, N. M. A., & Tahir, I. M. (2009). Applying multiple linear regression and neural network to predict bank performance. International Business Research, 2(4), 176–183.
  17. Bolton, L. E., Warlop, L., & Alba, J. W. (2003). Consumer perceptions of price (Un) fairness. Journal of Consumer Research, 29(4), 474–491.
  18. Carbonneau, R., Kersten, G. E., & Vahidov, R. (2008). Predicting opponent’s moves in electronic negotiations using neural networks. Expert Systems with Applications, 34(2), 1266–1273.
  19. Chong, A. Y. L. (2013). Predicting m-commerce adoption determinants: A neural network approach. Expert Systems with Applications, 40(2), 523–530.
  20. Eckerd, S., & Bendoly, E. (2011). Introduction to the discussion forum on using experiments in supply chain management research. Journal of Supply Chain Management, 47(3), 3–4.
  21. Hsu, C. I., Shih, M. L., Huang, B. W., Lin, B. Y., & Lin, C. N. (2009). Predicting tourism loyalty using an integrated Bayesian network mechanism. Expert Systems with Applications, 36(9), 11760–11763.
  22. Sexton, R. S., Johnson, R. A., & Hignite, M. A. (2002). Predicting internet/e-commerce use. Internet Research, 12(5), 402–410.
  23. SNCHEZ-ANGUIX, V., S. VALERO, V. JULIN, V. BOTTI, and A. GARCA-FORNES. 2010b. Genetic-aided multi-issue bilateral bargaining for complex utility functions (extended abstract). In Proceedings of the Ninth International Conference on Autonomous Agents and Multi-agent Systems: Toronto, Canada, pp. 1601– 1602.
  24. LOPEZ-CARMONA, M. A., I.MARSA-MAESTRE, J. R. VELASCO, and E. de la HOZ. 2010. A multi-issue negotiation framework for non-monotonic preference spaces (extended abstract). In Proceedings of the Ninth International Conference on autonomous Agents and Multi-agent Systems, Toronto, Canada, pp. 1611–1612.
Index Terms

Computer Science
Information Sciences

Keywords

Adaptive negotiation agents regression analysis Bayes’ interface Bayesian interface Posterior Probability.