Vidal's libraryTitle: | Congregating and Market Formation |
Author: | Chistopher H. Brooks and Edmund H. Durfee |
Book Tittle: | Proceedings of the 1st International Joint Conference on Autonomous Agents and MultiAgent Systems |
Pages: | 96--103 |
Year: | 2002 |
Abstract: | Agents in a multiagent system are not typically entirely self-su cient; instead, they frequently need to enlist other agents to perform tasks for them or to exchange goods or services with them. This creates a problem: how can an agent e ciently locate other agents to work or trade with? As the number of agents grows, the cost of this computation can become prohibitively large. One solution to this is for the system to self-organize into smaller groups of agents. In this paper, we apply the idea of congregating to a model of an information economy. We illustrate how participants in this economy can self-organize into a set of markets such that agents are able to nd suitable partners while retain- ing low computational costs. We show how congregating can help allocation problems scale to large populations by allowing agents to interact locally. |
Cited by 15 - Google Scholar
@InProceedings{brooks02b,
author = {Chistopher H. Brooks and Edmund H. Durfee},
title = {Congregating and Market Formation},
googleid = {fKrb1KXCT1QJ:scholar.google.com/},
booktitle = {Proceedings of the 1st International Joint
Conference on Autonomous Agents and MultiAgent
Systems},
pages = {96--103},
year = 2002,
url = {http://jmvidal.cse.sc.edu/library/brooks02b.pdf},
abstract = {Agents in a multiagent system are not typically
entirely self-su cient; instead, they frequently
need to enlist other agents to perform tasks for
them or to exchange goods or services with
them. This creates a problem: how can an agent e
ciently locate other agents to work or trade with?
As the number of agents grows, the cost of this
computation can become prohibitively large. One
solution to this is for the system to self-organize
into smaller groups of agents. In this paper, we
apply the idea of congregating to a model of an
information economy. We illustrate how participants
in this economy can self-organize into a set of
markets such that agents are able to nd suitable
partners while retain- ing low computational
costs. We show how congregating can help allocation
problems scale to large populations by allowing
agents to interact locally.},
keywords = {multiagent learning},
cluster = {6075288439842646652}
}
Last modified: Wed Mar 9 10:15:30 EST 2011