Role-Based Ad Hoc Teamwork

Katie Genter, Noa Agmon, Peter Stone

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


An ad hoc team setting is one in which teammates must work together to obtain a common goal, but without any prior agreement regarding how to work together. In this abstract we present a role-based approach for ad hoc teamwork, in which each teammate is inferred to be following a specialized role that accomplishes a specific task or exhibits a particular behavior. In such cases, the role an ad hoc agent should select depends both on its own capabilities and on the roles currently selected by the other team members. We present methods for evaluating the influence of the ad hoc agent's role selection on the team's utility and we examine empirically how to select the best suited method for role assignment in a complex environment. Finally, we show that an appropriate assignment method can be determined from a limited amount of data and used successfully in similar new tasks that the team has not encountered before.

Original languageEnglish
Title of host publicationProceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011
PublisherAAAI press
Number of pages2
ISBN (Electronic)9781577355083
StatePublished - 11 Aug 2011
Externally publishedYes
Event25th AAAI Conference on Artificial Intelligence, AAAI 2011 - San Francisco, United States
Duration: 7 Aug 201111 Aug 2011

Publication series

NameProceedings of the 25th AAAI Conference on Artificial Intelligence, AAAI 2011


Conference25th AAAI Conference on Artificial Intelligence, AAAI 2011
Country/TerritoryUnited States
CitySan Francisco

Bibliographical note

Publisher Copyright:
Copyright © 2011, Association for the Advancement of Artificial Intelligence ( All rights reserved.


This work has taken place in the Learning Agents Research Group (LARG) at UT Austin. LARG research is supported in part by NSF (IIS-0917122), ONR (N00014-09-1-0658), and the FHWA (DTFH61-07-H-00030).

FundersFunder number
National Science FoundationIIS-0917122
Office of Naval ResearchN00014-09-1-0658
Federal Highway AdministrationDTFH61-07-H-00030
University of Texas at Austin


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