Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination

Peter Stone, Gal A. Kaminka, Sarit Kraus, Jeffrey S. Rosenschein

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

105 Scopus citations

Abstract

As autonomous agents proliferate in the real world, both in software and robotic settings, they will increasingly need to band together for cooperative activities with previously unfamiliar teammates. In such ad hoc team settings, team strategies cannot be developed a priori. Rather, an agent must be prepared to cooperate with many types of teammates: it must collaborate without pre-coordination. This paper challenges the AI community to develop theory and to implement prototypes of ad hoc team agents. It defines the concept of ad hoc team agents, specifies an evaluation paradigm, and provides examples of possible theoretical and empirical approaches to challenge. The goal is to encourage progress towards this ambitious, newly realistic, and increasingly important research goal.

Original languageAmerican English
Title of host publicationProceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010
PublisherAAAI Press
Pages1504-1509
Number of pages6
ISBN (Electronic)9781577354642
StatePublished - 15 Jul 2010
Event24th AAAI Conference on Artificial Intelligence, AAAI 2010 - Atlanta, United States
Duration: 11 Jul 201015 Jul 2010

Publication series

NameProceedings of the 24th AAAI Conference on Artificial Intelligence, AAAI 2010

Conference

Conference24th AAAI Conference on Artificial Intelligence, AAAI 2010
Country/TerritoryUnited States
CityAtlanta
Period11/07/1015/07/10

Bibliographical note

Publisher Copyright:
© 2010, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

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