IMPLEMENTING AGENT TEAMS IN DYNAMIC MULTIAGENT ENVIRONMENTS
Author:
Milind Tambe
DOI:
10.1080/088395198117820
Publication Frequency:
10 issues per year
Published in:
Applied Artificial Intelligence,
Volume
12,
Issue
2 &
3
January
1998
, pages 189
- 210
Subjects:
Artificial Intelligence;
Computer Science (General);
Information & Communication Technology (ICT);
Number of References: 30
Formats available:
PDF
(English)
View Article:
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Abstract
Teamwork is becoming increasingly critical in multiagent environments ranging from virtual environments for training and education, to information integration on the internet, to potential multirobotic space missions. Teamwork in such complex, dynamic environments is more than a simple union of simultaneous individual activity, even if supplemented with preplanned coordination. Indeed, in these dynamic environments, unanticipated events can easily cause a breakdown in such preplanned coordination. The central hypothesis in this article is that for effective teamwork, agents should be provided explicit representation of team goals and plans, as well as an explicit representation of a model of teamwork to support the execution of team plans. In our work, this model of teamwork takes the form of a set of domain independent rules that clearly outline an agent's commitments and responsibilities as a participant in team activities, and thus guide the agent's social activities while executing team plans. This article describes two implementations of agent-teams based on the above principles, one for a realworld helicopter combat simulation, and one for the RoboCup soccer simulation. The article also provides a preliminary comparison of the two agent-teams to illustrate some of the strengths and weaknesses of RoboCup as a common test bed for multiagent systems.
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