# Peter Stone's Selected Publications

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## Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination

Peter Stone, Gal A. Kaminka, Sarit Kraus, and Jeffrey S. Rosenschein . Ad Hoc Autonomous Agent Teams: Collaboration without Pre-Coordination. In Proceedings of the Twenty-Fourth Conference on Artificial Intelligence, July 2010.
AAAI 2010

### 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.

### BibTeX Entry

@InProceedings(AAAI10-adhoc,
author="Peter Stone and Gal A.\ Kaminka and Sarit Kraus and Jeffrey S.\ Rosenschein ",
title="Ad Hoc Autonomous Agent Teams:  Collaboration without Pre-Coordination",
booktitle="Proceedings of the Twenty-Fourth Conference on Artificial Intelligence",
month="July",year="2010",
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 \emph{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.",
wwwnote={<a href="http://www.aaai.org/Conferences/AAAI/aaai10.php">AAAI 2010</a>},
)


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