[agents] Second Call For Papers: Adaptive and Learning Agents Workshop 2015 (Istanbul, Turkey)

[Logan Yliniemi]

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Paper deadline: FEBRUARY 11, 2015

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* AAMAS workshop with a long and successful history, now in its seventh
edition.
* ACM proceedings format with up to 8 pages.
* Best paper award sponsored by the European coordination action FoCAS -
Fundamentals of Collective Adaptive Systems (www.focas.eu).
* Accepted papers are eligible for inclusion in a special issue journal.

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2nd Call for Papers
ALA 2015: Adaptive and Learning Agents Workshop held at AAMAS 2015
(Istanbul, Turkey). The ALA workshop has a long and successful history and
is now in its seventh edition. The workshop is a merger of European ALAMAS
and the American ALAg series, which is usually held at AAMAS. Details may
be found on the workshop web site: http://ala2015.csc.liv.ac.uk

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* Submission Deadline:            February 11, 2015
* Notification of acceptance:    March 6, 2015
* Camera-ready copies:            March 19, 2015
* Workshop:             May 4-5, 2015

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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.

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 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 behaviour 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=ala2015

Submissions may be up to 8 pages in the ACM proceedings format (i.e., the
same as AAMAS papers in the main conference track). Accepted work will be
allocated time for oral presentation during the one day workshop. Papers
accepted at the workshop will also be eligible for inclusion in a special
issue published after the workshop.  A best workshop paper certificate will
be presented to the paper selected based on feedback from the reviewers and
finally determined by the co-chairs.

Logan Yliniemi
Robotics / Mechanical Engineering Ph.D. Candidate
AADI // MIME // Oregon State University