Colored trails: A multiagent system testbed for decision-making research (demonstration)
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CitationSevan G. Ficici, Avi Pfeffer, Ya'akov Gal, and Barbara Grosz Stuart Shieber. Colored trails: A multiagent system testbed for decision-making research (demonstration). In Proceedings of the Seventh International Conference on Autonomous Agents and Multiagent Systems, Estoril, Portugal, 12-16 May 2008.
AbstractWith increasing frequency, computer agents participate in collaborative and competitive multiagent domains in which humans reason strategically to make decisions. The deployment of computer agents in such domains requires that the agents understand something about human behavior so that they can interact successfully with people; the computer agents must be sensitive to how people reason in strategic settings as well as to the social utilities people employ to inform their reasoning. To date, these design requirements for computer agents have received relatively little attention. To further research in this area, we are developing the Colored Trails (CT) testbed , a configurable and extensible open-source system for use by the research community at large to investigate multiagent decision making.
Citable link to this pagehttp://nrs.harvard.edu/urn-3:HUL.InstRepos:2252601
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