Skip to main content

Bilateral Single-Issue Negotiation Model Considering Nonlinear Utility and Time Constraint

  • Chapter
  • First Online:
New Trends in Agent-Based Complex Automated Negotiations

Part of the book series: Studies in Computational Intelligence ((SCI,volume 383))

  • 805 Accesses

Abstract

Bilateral single-issue negotiation is studied a lot by researchers as a fundamental research issue in agent negotiation. During a negotiation with time constraint, a negotiation decision function is usually predefined by negotiators to express their expectations on negotiation outcomes in different rounds. By combining the negotiation decision function with negotiators’ utility functions, offers can be generated accurately and efficiently to satisfy negotiators expectations in each round. However, such a negotiation procedure may not work well when negotiators’ utility functions are nonlinear. For example, if negotiators’ utility functions are non-monotonic, negotiators may find several offers that come with the same utility; and if negotiators’ utility functions are discrete, negotiators may not find an offer to satisfy their expected utility exactly. In order to solve such a problem caused by nonlinear utility functions, we propose a novel negotiation approach in this paper. Firstly, a 3D model is introduced to illustrate the relationships among utility functions, time constraints and counter-offers. Then two negotiation mechanisms are proposed to handle two types of nonlinear utility functions respectively, ie. a multiple offers mechanism is introduced to handle non-monotonic utility functions, and an approximating offer mechanism is introduced to handle discrete utility functions. Lastly, a combined negotiation mechanism is proposed to handle nonlinear utility functions in general situations. The experimental results demonstrate the success of the proposed approach. By employing the proposed approach, negotiators with nonlinear utility functions can also perform negotiations efficiently.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Brzostowski, J., Kowalczyk, R.: Predicting Partner’s Behaviour in Agent Negotiation. In: Proc. of 5th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2006), pp. 355–361 (2006)

    Google Scholar 

  2. Faratin, P., Sierra, C., Jennings, N.: Negotiation Decision Functions for Autonomous Agents. Journal of Robotics and Autonomous Systems 24(3-4), 159–182 (1998)

    Article  Google Scholar 

  3. Fatima, S., Wooldridge, M., Jennings, N.: An Agenda-Based Framework for Multi-Issue Negotiation. Artificial Intelligence 152(1), 1–45 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  4. Fatima, S., Wooldridge, M., Jennings, N.: An Analysis of Feasible Solutions for Multi-Issue Negotiation Involving Nonlinear Utility Functions. In: Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2009), pp. 1041–1048 (2009)

    Google Scholar 

  5. Ito, T., Hattori, H., Klein, M.: Multi-issue negotiation protocol for agents: Exploring nonlinear utility spaces. In: Proceedings of the 20th Int. Conf. on Artificial Intelligence, pp. 1347–1352 (2007)

    Google Scholar 

  6. Ito, T., Klein, M.: A Multi-Issue Negotiation Protocol among Competitive Agents and Its Extension to A Nonlinear Utility Negotiation Protocol. In: Proceedings of the 5th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2006), pp. 435–437 (2006)

    Google Scholar 

  7. Ito, T., Klein, M., Hattori, H.: A Multi-Issue Negotiation Protocol among Agents with Nonlinear Utility Functions. Multiagent and Grid Systems 4(1), 67–83 (2008)

    MATH  Google Scholar 

  8. Klein, M., Faratin, P., Sayama, H., Bar-Yam, Y.: Negotiating Complex Contracts. Group Decision and Negotiation 12(2), 111–125 (2003)

    Article  Google Scholar 

  9. Narayanan, V., Jennings, N.: An Adaptive Bilateral Negotiation Model for E-Commerce Settings. In: Proceedings of the Seventh IEEE Int. Conf. on E-Commerce Technology, pp. 34–41 (2005)

    Google Scholar 

  10. Narayanan, V., Jennings, N.R.: Learning to Negotiate Optimally in Non-stationary Environments. In: Klusch, M., Rovatsos, M., Payne, T.R. (eds.) CIA 2006. LNCS (LNAI), vol. 4149, pp. 288–300. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  11. Osborne, M., Rubenstein, A.: A Course in Game Theory. The MIT Press, Cambridge (1994)

    MATH  Google Scholar 

  12. Robu, V., Somefun, D., Poutré, J.: Modeling Complex Multi-Issue Negotiations Using Utility Graphs. In: Proceedings of the 4th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2005), p. 287 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fenghui Ren .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ren, F., Zhang, M., Fulcher, J. (2012). Bilateral Single-Issue Negotiation Model Considering Nonlinear Utility and Time Constraint. In: Ito, T., Zhang, M., Robu, V., Fatima, S., Matsuo, T. (eds) New Trends in Agent-Based Complex Automated Negotiations. Studies in Computational Intelligence, vol 383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24696-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24696-8_2

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24695-1

  • Online ISBN: 978-3-642-24696-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics