ALA 2015 - Adaptive and Learning Agents Workshop 2015

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