Gal A. Kaminka: Publications

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Towards Collaborative Task and Team Maintenance

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.

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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.

Additional Information

BibTeX

@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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