Vidal's library
Title: 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