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Title: A decision-theoretic approach for designing proactive communication in multi-agent teamwork
Author: Yu Zhang, Richard A. Volz, Thomas R. Loerger, and John Yen
Book Tittle: Proceedings of the 2004 ACM symposium on Applied computing
Pages: 64--71
Publisher: ACM Press
Year: 2004
ISBN: 1-58113-812-1
DOI: 10.1145/967900.967917
Abstract: Techniques that support effective communication during teamwork processes are of particular importance. Psychological study shows that an effective team often can anticipate information exchange among the team and communicate relevant information proactively. Proactive communication is crucial for understanding and sharing common goals and for cooperative actions. Communication can be valuable if it assists agents with new and timely information; it also has cost because it consumes network resources such as bandwidth. To address these issues, we present a new model that uses information production and need to capture the complex multi-agent communication process and a dynamic decision-theoretic determination of communication strategies. We also introduce a generic utility function and an algorithm, DTPC (Decision-Theoretic Proactive Communication), that focuses on representing information production and need of team members and resolving decision interactions among them for making decisions.

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@InProceedings{zhang04a,
  author =	 {Yu Zhang and Richard A. Volz and Thomas R. Loerger
                  and John Yen},
  title =	 {A decision-theoretic approach for designing
                  proactive communication in multi-agent teamwork},
  booktitle =	 {Proceedings of the 2004 {ACM} symposium on Applied
                  computing},
  year =	 2004,
  isbn =	 {1-58113-812-1},
  pages =	 {64--71},
  location =	 {Nicosia, Cyprus},
  doi =		 {10.1145/967900.967917},
  publisher =	 {ACM Press},
  address =	 {New York, NY, USA},
  abstract =	 {Techniques that support effective communication
                  during teamwork processes are of particular
                  importance. Psychological study shows that an
                  effective team often can anticipate information
                  exchange among the team and communicate relevant
                  information proactively. Proactive communication is
                  crucial for understanding and sharing common goals
                  and for cooperative actions. Communication can be
                  valuable if it assists agents with new and timely
                  information; it also has cost because it consumes
                  network resources such as bandwidth. To address
                  these issues, we present a new model that uses
                  information production and need to capture the
                  complex multi-agent communication process and a
                  dynamic decision-theoretic determination of
                  communication strategies. We also introduce a
                  generic utility function and an algorithm, DTPC
                  (Decision-Theoretic Proactive Communication), that
                  focuses on representing information production and
                  need of team members and resolving decision
                  interactions among them for making decisions.},
  url = 	 {http://jmvidal.cse.sc.edu/library/zhang04a.pdf},
  cluster = 	 {10192863859366394204},
}
Last modified: Wed Mar 9 10:16:18 EST 2011