Vidal's libraryTitle: | Agent-Organized Networks for Dynamic Team Formation |
Author: | Matthew E. Gaston and Marie des Jardins |
Book Tittle: | Proceedings of the Fourth International Joint Conference on Autonomous Agents and MultiAgent Systems |
Pages: | 230--238 |
Year: | 2005 |
Crossref: | aamas05 |
Abstract: | Many multi-agent systems consist of a complex network of autonomous yet interdependent agents. Examples of such networked multi-agent systems include supply chains and sensor networks. In these systems, agents have a select set of other agents with whom they interact based on environmental knowledge, cognitive capabilities, resource limitations, and communications constraints. Previous findings have demonstrated that the structure of the artificial social network governing the agent interactions is strongly correlated with organizational performance. As multi-agent systems are typically embedded in dynamic environments, we wish to develop distributed, on-line network adaptation mechanisms for discovering effective network structures. Therefore, within the context of dynamic team formation, we propose several strategies for agentorganized networks (AONs) and evaluate their effectiveness for increasing organizational performance. |
Cited by 0 - Google Scholar
@InProceedings{gaston05a,
author = {Matthew E. Gaston and Marie des Jardins},
title = {Agent-Organized Networks for Dynamic Team Formation},
booktitle = {Proceedings of the Fourth International Joint
Conference on Autonomous Agents and MultiAgent
Systems},
crossref = {aamas05},
year = 2005,
pages = {230--238},
abstract = {Many multi-agent systems consist of a complex
network of autonomous yet interdependent
agents. Examples of such networked multi-agent
systems include supply chains and sensor
networks. In these systems, agents have a select set
of other agents with whom they interact based on
environmental knowledge, cognitive capabilities,
resource limitations, and communications
constraints. Previous findings have demonstrated
that the structure of the artificial social network
governing the agent interactions is strongly
correlated with organizational performance. As
multi-agent systems are typically embedded in
dynamic environments, we wish to develop
distributed, on-line network adaptation mechanisms
for discovering effective network
structures. Therefore, within the context of dynamic
team formation, we propose several strategies for
agentorganized networks (AONs) and evaluate their
effectiveness for increasing organizational
performance.},
keywords = {multiagent social-networks},
url = {http://jmvidal.cse.sc.edu/library/gaston05a.pdf},
cluster = {155348779728251552}
}
Last modified: Wed Mar 9 10:16:28 EST 2011