Nothing Special   »   [go: up one dir, main page]

Skip to main content

A New Pooled Buying Method Based on Risk Management

  • Conference paper
New Trends in Applied Artificial Intelligence (IEA/AIE 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4570))

Abstract

In this paper, we handle a negotiation method in which a main negotiation consists of multiple sub-negotiations. In items allocation for commerce, there are some risks on the trade because the market balance is determined by supply and demand. The result of main negotiation is also determined by the order of sub-negotiations and agents’ behaviors since agents’ budgets have limitations on the actual commercial trading. However, it is difficult to decide the order of negotiations, such as simultaneous decisions and rotations. In this paper, we give the trading model in such cases, that is, agents purchase items by pooled buying. In actual trading as pooled buying, items are sold by the volume discount. Concretely, we discuss joint-stock company and private limited partnership on the web. In the negotiation phase, an agent proposes pooled buying based on the number of items and their prices considering their budgets. The degree of risks is calculated. All agents can see the risks with each item. Agents cooperate to the proposing agent based on the degree of risks. In this paper, we give two scenarios for trading. One is to avoid free riders who get surplus without risks. Another one is to promote agents’ participation to increase social surplus. For risk aversion and promoting cooperation, we employ the side-payment policy, that is, cooperative agents’ risks are preserved to a minimum. Further, we give some discussions where agents must pay the negotiation costs and charge for storage.

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
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

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. Ito, T., Hattori, H., Shintani, T.: A cooperative exchanging mechanism among seller agents for group-based sales. The International Journal of Electronic Commerce Research and Applications (ECRA) 1(2) (2002)

    Google Scholar 

  2. Ito, T., Yokoo, M., Matsubara, S.: A combinatorial auction protocol among versatile experts and amateurs. In: Kudenko, D., Kazakov, D., Alonso, E. (eds.) Adaptive Agents and Multi-Agent Systems II. LNCS (LNAI), vol. 3394, pp. 481–488. Springer, Heidelberg (2005)

    Google Scholar 

  3. Layton-Brown, K., Shoham, Y., Tennenholtz, M.: Bidding clubs: Institutionalized collusion in auction. In: the proceeding of the ACM Conference on Electronic Commerce(EC’00), pp. 253–259. ACM Press, New York (2000)

    Chapter  Google Scholar 

  4. Li, C., Sycara, K.: Algorithms for combinational coalition formation and payoff division in an electronic marketplace. In: the proceedings of International Joint Conference on Autonomous Agents and Multi-agent Systems, pp. 120–127 (2002)

    Google Scholar 

  5. Matsuo, T., Ito, T.: A decision support system for group buying based on buyers’ preferences in electronic commerce. In: the proceedings of the Eleventh World Wide Web International Conference (WWW-2002), pp. 84–89 (2002)

    Google Scholar 

  6. Matsuo, T., Ito, T., Shintani, T.: A buyers integration support system in group buying. In: the proceedings of EEE International Conference on Electronic Commerce Technology (2004)

    Google Scholar 

  7. Parkes, D.C, Ungar, L.H: An ascending-price generalized vickrey auction. In: The SITE Workshop on The Economics of the Internet (2002)

    Google Scholar 

  8. Sandholm, T.: emediator: A next generation electronic commerce server. In: Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI99), pp. 923–924. AAAI Press, Stanford (1999)

    Google Scholar 

  9. Yamamoto, J., Sycara, K.: A stable and efficient buyer coalition formation 40 scheme for e-marketplaces. In: the proceedings of International Joint Conference on Autonomous Agents and Multi-agent Systems(AAMAS-2001) (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Hiroshi G. Okuno Moonis Ali

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Matsuo, T. (2007). A New Pooled Buying Method Based on Risk Management. In: Okuno, H.G., Ali, M. (eds) New Trends in Applied Artificial Intelligence. IEA/AIE 2007. Lecture Notes in Computer Science(), vol 4570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73325-6_95

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-73325-6_95

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73322-5

  • Online ISBN: 978-3-540-73325-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics