Vidal's library
Title: 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.

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@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