ACM Home Page
Please provide us with feedback. Feedback
A decentralized model for multi-attribute negotiations
Full text PdfPdf (504 KB)
Source ACM International Conference Proceeding Series; Vol. 156 archive
Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet table of contents
Fredericton, New Brunswick, Canada
SESSION: Multiagent systems and electronic markets track table of contents
Pages: 3 - 10  
Year of Publication: 2006
ISBN:1-59593-392-1
Authors
Guoming Lai  Carnegie Mellon University, Pittsburgh, PA
Katia Sycara  Carnegie Mellon University, Pittsburgh, PA
Cuihong Li  University of Connecticut, Storrs, CT
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 78,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1151454.1151471
What is a DOI?

ABSTRACT

This paper presents a decentralized model that allows self-interested agents to reach "win-win" agreements in a multi-attribute negotiation. The model is based on an alternating-offer protocol. In each period, the proposing agent is allowed to make a limited number of offers. The responding agent can choose the best offer or reject all of them. In the case of rejection, agents exchange their roles and the negotiation proceeds to the next period. To make counteroffers, an agent first uses the heuristic of choosing, on an indifference curve (or surface), the offer that is closest to the best offer made by the opponent in the previous period, and then taking this offer as the seed, chooses several other offers randomly in a specified neighborhood of this seed offer. Experimental results show that this model can make agents reach near Pareto optimal agreements in general situations where agents have complex preferences on the attributes and incomplete information. Moreover, different from other solutions for multi-attribute negotiations, this model does not require the presence of a mediator.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
A. Mas-Colell, M. D. Whinston and J. R. Green. Microeconomic Theory. Oxford University Press, New York, 1995.
 
2
M. Bac and H. Raff. Issue-by-issue negotiations: the role of information and time preference. Games and Economic Behavior, 13:125--134, 1996.
 
3
L.-A. Busch and I. J. Horstmann. Endogenous incomplete contracts: A bargaining approach. Games and Economic Behavior, 19:144--148, 1997.
 
4
 
5
A. Rubinstein. Perfect equilibrium in a bargaining model. Econometrica, 50(1):97--109, 1982.
 
6
E. Kalai. Proportional solutions to bargaining situations: Intertemporal utility comparisons. Econometrica, 45(7):1623--1630, 1977.
7
 
8
C. Li, J. A. Giampapa and K. Sycara. Bilateral Negotiation Decisions with Uncertain Dynamic Outside Options. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Special Issue on Game-theoretic Analysis and Stochastic Simulation of Negotiation Agents, 36(1):1--13, 2006.
 
9
M. Klein, P. Faratin, H. Sayama and Y. Bar-Yam. Negotiating complex contracts. Group Decision and Negotiation, 12(2):111--125, 2003.
 
10
J. Nash. The bargaining problem. Econometrica, 18(2):155--162, 1950.
 
11
 
12
P. Faratin, C. Sierra and N. R. Jennings. Using similarity criteria to make issue trade-offs in automated negotiations. Artificial Intelligence, 142(2):205--237, 2002.
 
13
P. Faratin, C. Sierra and N. R. Jennings. Negotiation decision functions for autonomous agents. International Journal of Robotics and Autonomous Systems, 24:159--182, 1998.
14
 
15
 
16
 
17
K. Sycara. Persuasive argumentation in negotiation. Theory and Decision, 28(3):203--242, 1990.
 
18
19
 
20
 
21
 
22
G. Lai, C. Li, J. Giampapa and K. Sycara. Literature review on multi-attribute negotiations. Tech. Report, Robotics Institute, Carnegie Mellon Univ., December, 2004.
 
23
 
24
L. Chen and P. Pu. Survey of Preference Elicitation Methods. EPFL Technical Report IC/2004/67, Switzerland, 2004.

Collaborative Colleagues:
Guoming Lai: colleagues
Katia Sycara: colleagues
Cuihong Li: colleagues