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ALA 2016 : Adaptive Learning Agents


Conference Series : Adaptive and Learning Agents
When May 9, 2016 - May 10, 2016
Where Singapore
Submission Deadline Feb 1, 2016
Notification Due Mar 7, 2016
Final Version Due Mar 18, 2016
Categories    artificial intelligence   machine learning   agents   reinforcement learning

Call For Papers

Paper deadline: FEBRUARY 1, 2016

* AAMAS workshop with a long and successful history, now in its eighth edition.
* Open to original research papers, work-in-progress, and visionary outlook papers.
* ACM proceedings format up to 8 pages for original research and up to 6 pages for work-in-progress and outlook papers (shorter papers are also welcome and will not be judged differently).
* Accepted papers are eligible for inclusion in a special issue journal.

1st Call for Papers
ALA 2016: Adaptive and Learning Agents Workshop held at AAMAS 2016 (Singapore). The ALA workshop has a long and successful history and is now in its eighth 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:

* Submission Deadline: February 1, 2016
* Notification of acceptance: March 7, 2016
* Camera-ready copies: March 10, 2016
* Workshop: May 9/10, 2016

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


Papers can be submitted through EasyChair:

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 2016. 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.

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-2016 Workshops, where one paper will be selected from each AAMAS-2016 workshop. Additionally, the "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-2016 Workshops, where one paper will be selected from each AAMAS-2016 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 oral presentation during the workshop. Papers accepted at the workshop will also be eligible for inclusion in a special issue published after the workshop.

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