Connectionists: 3rd Call For Papers: Adaptive and Learning Agents Workshop at AAMAS2017 (Sao Paulo, Brazil)

[Kaushik Subramanian]

Hi Everyone,

We would like to invite submissions for the Autonomous Learning Agents
(ALA) workshop at AAMAS 2017 in Sao Paulo, Brazil in May this year. The
submission deadline is Feb 1st 2017 (a week away). Please find the call for
papers below.

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Adaptive and Learning Agents Workshop at AAMAS2017 (Sao Paulo, Brazil)
http://ala2017.it.nuigalway.ie/
Submission deadline: FEBRUARY 1, 2017
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TL;DR:

* AAMAS workshop with a long and successful history, now in its ninth
edition.
* All aspects of adaptive and learning agents and multi-agent systems
* Open to original research papers, work-in-progress, and visionary outlook
papers, as well as recently published journal papers
* ACM proceedings format up to 8 pages for original research, up to 6 pages
for work-in-progress and outlook papers (shorter papers are also welcome
and will not be judged differently) and 2 pages for recently published
journal papers.
* Accepted papers are eligible for inclusion in a special issue journal
* Submissions through easychair: https://easychair.org/
conferences/?conf=ala2017

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IMPORTANT DATES:

* Submission Deadline:          February 1, 2017
* Notification of acceptance:   March 2, 2017
* Camera-ready copies:          March 17, 2017
* Workshop:                           May 8-9, 2017

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OVERVIEW

Adaptive and learning agents, particularly those interacting with each
other in a multi-agent setting, are becoming increasingly prominent as the
size and complexity of real-world systems grows. How to adaptively control,
coordinate and optimize such systems is an emerging multidisciplinary
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.

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.

The topics of interest include but are not limited to:

  * Novel combinations of reinforcement and supervised learning approaches
  * Integrated learning approaches that work with other agent reasoning
modules like negotiation, trust models, coordination,  etc.
  * Supervised multi-agent learning
  * Reinforcement learning (single and multi-agent)
  * Planning (single and multi-agent)
  * Reasoning (single and multi-agent)
  * Distributed learning
  * Adaptation and learning in dynamic environments
  * Evolution of agents in complex environments
  * Co-evolution of agents in a multi-agent setting
  * Cooperative exploration and learning to cooperate and collaborate
  * Learning trust and reputation
  * Communication restrictions and their impact on multi-agent coordination
  * Design of reward structure and fitness measures for coordination
  * Scaling learning techniques to large systems of learning and adaptive
agents
  * Emergent behavior in adaptive multi-agent systems
  * Game theoretical analysis of adaptive multi-agent systems
  * Neuro-control in multi-agent systems
  * Bio-inspired multi-agent systems
  * Applications of adaptive and learning agents and multi-agent systems to
real world complex systems

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SUBMISSION DETAILS

Papers can be submitted through EasyChair: https://easychair.org/
conferences/?conf=ala2017

We invite submission of original work, up to 8 pages in length in the ACM
proceedings format (i.e. following the AAMAS formatting instructions). This
includes work that has been accepted as poster only at AAMAS 2017.
Additionally, we welcome submission of preliminary results, i.e.
work-in-progress, as well as visionary outlook papers that lay out
directions for future research in a specific area, both up to 6 pages in
length, although shorter papers are very much welcome, and will not be
judged differently. Finally, we also accept recently published journal
papers in the form of a 2 page abstract.

All submissions will be peer-reviewed (single-blind). The most "visionary”
paper will be published by Springer in a book under the Lecture Notes in
Artificial Intelligence (LNAI) - Hot Topics series. The book will be a
compilation of the most visionary papers of the AAMAS-2017 Workshops, where
one paper will be selected from each AAMAS-2017 workshop. Additionally, a
"best paper" will be published by Springer in a book under the
Communications in Computer and Information Science (CCIS) series. The book
will be a compilation of the best papers of the AAMAS-2017 Workshops, where
one paper will be selected from each AAMAS-2017 workshop. Authors of the
selected most visionary paper and the best paper are expected to provide
their latex files promptly upon request.

Accepted work will be allocated time for poster and possibly oral
presentation during the workshop. Papers accepted at the workshop will also
be eligible for inclusion in a special issue published after the workshop.

We look forward to your submissions,

Organizers:

Tim Brys (Vrije Universiteit Brussel, BE)
Anna Harutyunyan (Vrije Universiteit Brussel, BE)
Patrick Mannion (National University of Ireland Galway, IE)
Kaushik Subramanian (Georgia Institute of Technology, USA)

Senior Steering Committee Members:

Enda Howley (National University of Ireland Galway, IE)
Daniel Kudenko (University of York, UK)
Ann Nowé (Vrije Universiteit Brussel, BE)
Sandip Sen (University of Tulsa, USA)
Peter Stone (University of Texas at Austin, USA)
Matthew Taylor (Washington State University, USA)
Kagan Tumer (Oregon State University, USA)
Karl Tuyls (University of Liverpool, UK)
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