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<span style="letter-spacing:0px"><b>Call For Participation</b></span></p><p style="margin:0px;text-align:center;font-size:14px;font-family:Arial;min-height:16px"><span style="letter-spacing:0px"><b></b></span><br></p><p style="margin:0px;text-align:center;font-size:14px;font-family:Arial">
<span style="letter-spacing:0px"><b>Adaptive and Learning Agents Workshop 2014 </b></span></p><p style="margin:0px;text-align:center;font-size:14px;font-family:Arial"><span style="letter-spacing:0px"><b>at AAMAS 2014 (Paris, France)</b></span></p>
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</p><p style="margin:0px;text-align:center;font-size:14px;font-family:Arial"><span style="letter-spacing:0px"><b>May 5-6</b></span></p>
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<p style="margin:0px;font-size:11px;font-family:Arial;color:rgb(4,51,255)"><span style="font-size:10px;letter-spacing:0px;color:rgb(0,0,0)">Register at: <a href="http://aamas2014.lip6.fr/registration.php"><span style="font-size:11px;letter-spacing:0px">http://aamas2014.lip6.fr/registration.php</span></a></span></p>
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<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">ALA 2014: Adaptive and Learning Agents Workshop held at AAMAS 2014 (Paris, France). The ALA workshop has a long and successful history and is now in its 14th edition. The workshop is a merger of European ALAMAS and the American ALAg series which is usually held at AAMAS. </span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Our technical program will include 18 oral presentations, an invited speaker and 2 tutorial sessions on multi-agent reinforcement learning and reward shaping (difference rewards and potential-based reward shaping).</span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">More details may be found on the workshop web site:</span></p>
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<p style="margin:0px;font-size:11px;font-family:Arial;color:rgb(4,51,255)"><span style="text-decoration:underline;letter-spacing:0px"><a href="http://swarmlab.unimaas.nl/ala2014/">http://swarmlab.unimaas.nl/ala2014/</a></span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">* Early Registration Deadline:<span class="" style="white-space:pre"> </span>March 25, 2014</span></p>
<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">* Workshop: <span class="" style="white-space:pre"> </span>May 5-6, 2014</span></p>
<p style="margin:0px;font-size:11px;font-family:Arial;color:rgb(4,51,255)"><span style="font-size:10px;letter-spacing:0px;color:rgb(0,0,0)">Register at: <a href="http://aamas2014.lip6.fr/registration.php"><span style="font-size:11px;letter-spacing:0px">http://aamas2014.lip6.fr/registration.php</span></a></span></p>
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<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Adaptive and Learning Agents, particularly those in a multi-agent setting are becoming more and more prominent as the sheer size and complexity of many real world systems grows. How to adaptively control, coordinate and optimize such systems is an emerging multi-disciplinary research area at the intersection of Computer Science, Control theory, Economics, and Biology. The ALA workshop will focus on agent and multi-agent systems which employ learning or adaptation.</span></p>
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<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">The goal of this workshop is to increase awareness and interest in adaptive agent research, encourage collaboration and give a representative overview of current research in the area of adaptive and learning agents and multi-agent systems. It aims at bringing together not only scientists from different areas of computer science but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design). This workshop will focus on all aspects of adaptive and learning agents and multi-agent systems with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems.</span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">The topics of interest include but are not limited to:</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Novel combinations of reinforcement and supervised learning approaches</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Integrated learning approaches that work with other agent reasoning modules like </span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> negotiation, trust models, coordination, etc.</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Supervised multi-agent learning</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Reinforcement learning (single and multi-agent)</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Planning (single and multi-agent)</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Reasoning (single and multi-agent)</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Distributed learning </span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Adaptation and learning in dynamic environments</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Evolution of agents in complex environments</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Co-evolution of agents in a multi-agent setting</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Cooperative exploration and learning to cooperate and collaborate</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Learning trust and reputation</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Communication restrictions and their impact on multi-agent coordination</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Design of reward structure and fitness measures for coordination</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Scaling learning techniques to large systems of learning and adaptive agents</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Emergent behaviour in adaptive multi-agent systems</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Game theoretical analysis of adaptive multi-agent systems</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Neuro-control in multi-agent systems</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Bio-inspired multi-agent systems</span></p>
<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Applications of adaptive and learning agents and multi-agent systems to real world complex </span></p>
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<p style="margin:0px;text-align:justify;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"> * Learning of Co-ordination</span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Organization</span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"><b>Workshop chairs:</b></span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Samuel Barrett (The University of Texas at Austin, USA)<br>
Sam Devlin (University of York, UK)<br>
Daniel Hennes (European Space Agency, The Netherlands)</span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">If you have any questions about the ALA workshop, please contact the organizers at: <br>
ala.workshop.2014 AT <a href="http://gmail.com">gmail.com</a></span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px"><b>Senior Steering Committee Members:</b></span></p>
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<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Daniel Kudenko (University of York, UK)</span></p>
<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Ann Nowé (Vrije Universiteit Brussels, Belgium)</span></p>
<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Peter Stone (University of Texas at Austin, USA)</span></p>
<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Matthew Taylor (Lafayette College, USA)</span></p>
<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Kagan Tumer (Oregon State University, USA)</span></p>
<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">Karl Tuyls (Maastricht University, The Netherlands)</span></p>
<p style="margin:0px;font-size:10px;font-family:Arial"><span style="letter-spacing:0px">******************************************************* </span></p><div><br></div>-- <br><div dir="ltr">Dr Sam Devlin<br>
Research Associate<br>
York Centre for Complex Systems Analysis<br>
The University of York<br>
Deramore Lane, York, YO10 5GH<br>
<br>
w: <a href="http://www.cs.york.ac.uk/%7Edevlin/" target="_blank">http://www.cs.york.ac.uk/~devlin/</a><br><br>Disclaimer: <a href="http://www.york.ac.uk/docs/disclaimer/email.htm" target="_blank">http://www.york.ac.uk/docs/disclaimer/email.htm</a><br>
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