Vidal's library
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. |
Cited by 6 - Google Scholar - ISBNdb - Amazon
@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