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Gal A. Kaminka, Ari Yakir, Dan Erusalimchik, and Nirom Cohen-Nov. Towards Collaborative Task and Team
Maintenance. In Proceedings of the Sixth International Joint Conference on Autonomous Agents and Multi-Agent Systems
(AAMAS-07), 2007.
There is significant interest in modeling teamwork in agents. In recent years, it has become widely accepted that it is possible to separate teamwork from taskwork, providing support for domain-independent teamwork at an architectural level, using teamwork models. However, existing teamwork models (both in theory and practice) focus almost exclusively on achievement goals, and ignore maintenance goals, where the value of a proposition is to be maintained over time. Such maintenance goals exist both in taskwork (i.e., agents take actions to maintain a condition while a task is executing), as well as in teamwork (i.e., agents take actions to maintain the team). This paper presents mechanisms for collaborative maintenance in both taskwork and teamwork, allowing for flexible selection of the maintenance protocol. The mechanism is integrated and evaluated in two teamwork architectures for situated agent teams: DIESEL, an implemented teamwork and taskwork architecture, built on top of Soar, and BITE, an architecture for physical behavior-based robots. We provide details of these implementations, and the results from experiments demonstrating the benefits of support for collaborative maintenance processes, in several dynamic rich domains. We show that the use of collaborative maintenance leads to significant improvement in task performance in all domains.
@InProceedings{aamas07maint,
author = {Gal A. Kaminka and Ari Yakir and Dan Erusalimchik and Nirom Cohen-Nov},
title = {Towards Collaborative Task and Team Maintenance},
OPTcrossref = {},
OPTkey = {},
booktitle = AAMAS-07,
OPTpages = {In press},
year = {2007},
abstract = {There is significant interest in modeling teamwork in agents.
In recent years, it has become widely accepted that it is possible to separate
teamwork from taskwork, providing support for domain-independent teamwork at an
architectural level, using teamwork models. However, existing teamwork models
(both in theory and practice) focus almost exclusively on achievement goals, and
ignore maintenance goals, where the value of a proposition is to be
maintained over time. Such maintenance goals exist both in taskwork (i.e.,
agents take actions to maintain a condition while a task is executing), as well
as in teamwork (i.e., agents take actions to maintain the team). This paper
presents mechanisms for collaborative maintenance in both taskwork and teamwork,
allowing for flexible selection of the maintenance protocol. The mechanism is
integrated and evaluated in two teamwork architectures for situated agent
teams: DIESEL, an implemented teamwork and taskwork architecture, built on top
of Soar, and BITE, an architecture for physical behavior-based robots. We
provide details of these implementations, and the results
from experiments demonstrating the benefits of support for collaborative
maintenance processes, in several dynamic rich domains. We show that the use of
collaborative maintenance leads to significant improvement in task performance
in all domains.},
wwwnote = {},
OPTeditor = {},
OPTvolume = {},
OPTnumber = {},
OPTseries = {},
OPTaddress = {},
OPTmonth = {},
OPTorganization = {},
OPTpublisher = {},
OPTannote = {}
}
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