Vidal's libraryTitle: | The Advantages of Compromising in Coalition Formation with Incomplete Information |
Author: | Sarit Kraus, Onn Shehory, and Gilad Taase |
Book Tittle: | Proceedings of the Third International Joint Conference on Autonomous Agents and MultiAgent Systems |
Pages: | 588--595 |
Publisher: | ACM |
Year: | 2004 |
Abstract: | This paper presents protocols and strategies for coalition formation with incomplete information under time constraints. It focuses on strategies for coalition members to distribute revenues amongst themselves. Such strategies should preferably be stable, lead to a fair distribution, and maximize the social welfare of the agents. These properties are only partially supported by existing coalition formation mechanisms. In particular, stability and the maximization of social welfare are supported only in the case of complete information, and only at a high computational complexity. Recent studies on coalition formation with incomplete and uncertain information address revenue distribution in a naïve manner. In this study we specifically refer to environments with limited computational resources and incomplete information. We propose a variety of strategies for revenue distribution, including the strategy in which the agents attempt to distribute the estimated net value of a coalition equally. A variation of the equal distribution strategy in which agents compromise and agree to a payoff lower than their estimated equal share, was specifically examined. Our experimental results show that, under time constraints, the compromise strategy is stable and increases the social welfare compared to non-compromise strategies. |
Cited by 30 - Google Scholar
@InProceedings{kraus04a,
author = {Sarit Kraus and Onn Shehory and Gilad Taase},
title = {The Advantages of Compromising in Coalition
Formation with Incomplete Information},
booktitle = {Proceedings of the Third International Joint
Conference on Autonomous Agents and MultiAgent
Systems},
pages = {588--595},
year = 2004,
publisher = {{ACM}},
abstract = {This paper presents protocols and strategies for
coalition formation with incomplete information
under time constraints. It focuses on strategies for
coalition members to distribute revenues amongst
themselves. Such strategies should preferably be
stable, lead to a fair distribution, and maximize
the social welfare of the agents. These properties
are only partially supported by existing coalition
formation mechanisms. In particular, stability and
the maximization of social welfare are supported
only in the case of complete information, and only
at a high computational complexity. Recent studies
on coalition formation with incomplete and uncertain
information address revenue distribution in a naïve
manner. In this study we specifically refer to
environments with limited computational resources
and incomplete information. We propose a variety of
strategies for revenue distribution, including the
strategy in which the agents attempt to distribute
the estimated net value of a coalition equally. A
variation of the equal distribution strategy in
which agents compromise and agree to a payoff lower
than their estimated equal share, was specifically
examined. Our experimental results show that, under
time constraints, the compromise strategy is stable
and increases the social welfare compared to
non-compromise strategies.},
keywords = {multiagent coalitions uncertainty},
url = {http://jmvidal.cse.sc.edu/library/kraus04a.pdf},
comment = {masrg},
googleid = {tKYQ-yI_IV0J:scholar.google.com/},
cluster = {6710714339232360116}
}
Last modified: Wed Mar 9 10:16:14 EST 2011