Agentic Negotiation Framework for Strategic Vendor Management

Authors

  • Tanuj Mathur Independent Researcher, USA Author
  • Vijaya Bhaskara Rao Kotapati Congnizant Technology Solutions, USA Author
  • Debabrata Das Deloitte Consulting, USA Author

Keywords:

multi-agent systems, vendor management, negotiation framework, procurement optimization, operational expenditure

Abstract

The purpose of this paper is to introduce an Agentic Negotiation Framework (ANF) for strategic vendor management that leverages multi-agent systems to simulate complex contractual scenarios, benchmark dynamic market pricing, and optimise license and support level selection. ANF shows Chief Information Officers (CIOs) their organization's cost constraints, service-level requirements, and predicted scalability demands that needed to assist them while making choices.

 

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References

R. Z. Farahani, M. Hekmatfar, Multi-Agent Systems in Supply Chain Management, Springer, 2017.

S. Kraus, “Automated negotiation and decision making in multi-agent environments,” AI Magazine, vol. 33, no. 3, pp. 61–68, 2012.

K. Tuyls and M. Kaisers, “Multi-agent reinforcement learning: A selective overview of theories and algorithms,” Handbook of Reinforcement Learning and Control, 2017.

F. Dignum, Handbook of Research on Multi-Agent Systems, IGI Global, 2009.

G. Tesauro, D. M. T. McGroarty, and J. P. Kephart, “A multi-agent system for automated negotiation,” in Proc. Int. Joint Conf. on Artificial Intelligence (IJCAI), 2001, pp. 1192–1197.

J. Klein et al., “Negotiation support systems: The state of the art,” Group Decision and Negotiation, vol. 26, no. 3, pp. 503–523, 2017.

R. W. Rosenthal, “A model of preplay communication in games,” Journal of Economic Theory, vol. 27, no. 1, pp. 123–139, 1982.

S. Parsons, M. Wooldridge, and N. R. Jennings, “Game theory and decision theory in multi-agent systems,” Autonomous Agents and Multi-Agent Systems, vol. 5, no. 3, pp. 243–254, 2002.

H. V. D. Parunak, “Agent-based modeling vs. equation-based modeling: A case study and users’ guide,” in Proc. Multi-Agent Systems and Agent-Based Simulation, 1999.

L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338–353, 1965.

M. Wooldridge, An Introduction to MultiAgent Systems, 2nd ed. Wiley, 2009.

C. Sierra and N. R. Jennings, “Framework for negotiating autonomous agents,” Robotics and Autonomous Systems, vol. 24, no. 3-4, pp. 159–182, 1998.

F. Bellifemine, G. Caire, and D. Greenwood, Developing Multi-Agent Systems with JADE, Wiley, 2007.

F. Z. Wang, “Multi-agent negotiation based on contract net protocol in supply chain management,” International Journal of Production Economics, vol. 130, no. 2, pp. 409–418, 2011.

L. F. Cranor and M. J. Herzog, “Negotiation protocols for multi-agent systems,” in Proc. Int. Conf. on Autonomous Agents, 1998, pp. 96–103.

S. Guo, “Agent-based contract negotiation model for supply chain management,” Expert Systems with Applications, vol. 39, no. 10, pp. 9444–9455, 2012.

T. Sandholm, “Distributed rational decision making,” in Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, G. Weiss, Ed. MIT Press, 1999, pp. 201–258.

R. J. B. Wieringa and R. C. J. Brouwer, “Contract negotiation in software agent societies,” IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 2, pp. 223–237, 2004.

C. B. Williams, “Price prediction in electronic markets using data mining,” Decision Support Systems, vol. 41, no. 2, pp. 395–406, 2006.

M. Luck, P. McBurney, and C. Preist, “Agent technology: Enabling next generation computing,” Agent Technology, Springer, 2003.

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Published

07-07-2020

How to Cite

[1]
Tanuj Mathur, Vijaya Bhaskara Rao Kotapati, and Debabrata Das, “Agentic Negotiation Framework for Strategic Vendor Management”, J. Artif. Intell. Mach. Learn. Stud., vol. 4, pp. 143–177, Jul. 2020, Accessed: May 28, 2026. [Online]. Available: https://jaimls.org/index.php/publication/article/view/20