Role-Based Ad Hoc Teamwork

Katie Genter, Noa Agmon, Peter Stone

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Scopus citations


An ad hoc team setting is one in which teammates work together to obtain a common goal, but without any prior agreement regarding how to work together. We introduce a role-based approach for ad hoc teamwork in which each teammate is inferred to be following a specialized role. In such cases, the role an ad hoc agent should select depends on its own capabilities and on the roles selected by its teammates. This chapter formally defines methods for evaluating the influence of an ad hoc agent's role selection on the team's utility and shows that use of these methods facilitates efficient calculation of the role yielding maximal team utility. We examine empirically how to choose the best-suited method for role assignment and show that once an appropriate assignment method is determined for a domain, it can be used successfully in new tasks that the team has not encountered before. Unlike much of the rest of the book, this chapter does not focus on methods for recognizing the roles of the other agents. Rather, it examines the question of how to use successful role recognition toward successful multiagent decision making.

Original languageEnglish
Title of host publicationPlan, Activity, and Intent Recognition
Subtitle of host publicationTheory and Practice
PublisherElsevier Inc.
Number of pages22
ISBN (Print)9780123985323
StatePublished - Mar 2014

Bibliographical note

Funding Information:
This work has taken place in the Learning Agents Research Group (LARG) at the Artificial Intelligence Laboratory, The University of Texas at Austin. LARG research is supported in part by grants from the National Science Foundation ( CNS-1330072 , CNS-1305287 ) and ONR ( 21C184-01 ).


  • Ad hoc teamwork
  • Multiagent collaboration
  • Multiagent planning
  • Multiagent teamwork
  • Role-based ad hoc teamwork


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