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Dear Fellow AI Scientists,<br>
<br>
We are pleased to announce that the<br>
<br>
<i><b> Special Issue on Multiagent Interaction without Prior
Coordination</b></i><br>
<br>
has been published in the Journal of Autonomous Agents and
Multi-Agent Systems.<br>
<br>
The guest editorial is available <a
href="http://link.springer.com/article/10.1007/s10458-016-9358-0">here</a>
and the website can be found <a
href="http://mipc.inf.ed.ac.uk/journal/">here</a>.<br>
<br>
<br>
Abstract:<br>
This special issue of the Journal of Autonomous Agents and
Multi-Agent Systems sought research articles on the emerging topic
of multiagent interaction without prior coordination. Topics of
interest included empirical and theoretical investigations of issues
arising from assumptions of prior coordination, as well as solutions
in the form of novel models and algorithms for effective multiagent
interaction without prior coordination.<br>
<br>
The following articles appear in this special issue:<br>
<br>
Pablo Hernandez-Leal, Yusen Zhan, Matthew E. Taylor, L. Enrique
Sucar, Enrique Munoz de Cote<br>
<i>Efficiently detecting switches against non-stationary opponents</i><br>
<br>
Katie Genter, Tim Laue, Peter Stone<br>
<i>Three Years of the RoboCup Standard Platform League Drop-In
Player Competition: Creating and Maintaining a Large Scale Ad Hoc
Teamwork Robotics Competition</i><br>
<br>
Muthukumaran Chandrasekaran, Prashant Doshi, Yifeng Zeng, Yingke
Chen<br>
<i>Can Bounded and Self-Interested Agents be Teammates? Application
to Planning in Ad Hoc Teams</i><br>
<br>
Alessandro Panella, Piotr Gmytrasiewicz<br>
<i>Interactive POMDPs with Finite-State Models of Other Agents</i><br>
<br>
Somchaya Liemhetcharat, Manuela Veloso<br>
<i>Allocating Training Instances to Learning Agents for Team
Formation</i><br>
<br>
<pre class="moz-signature" cols="72">--
Dr. Stefano V. Albrecht
Department of Computer Science
The University of Texas at Austin
<a class="moz-txt-link-freetext" href="http://svalbrecht.de">http://svalbrecht.de</a></pre>
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