ALA 2009 - Workshop at AAMAS 2009
Adaptive Learning Agents encompasses diverse fields such as Computer Science, Software Engineering, Biology, as well as Cognitive and Social Sciences.
This workshop is a continuation of last year's ALAMAS+ALAg workshop, now in its ninth year. Previous version of this workshop may be found at the following urls:
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. It aims at bringing together not only scientists from different areas of computer science (e.g., agent architectures, reinforcement learning, and evolutionary algorithms) but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design).
The workshop will serve as an inclusive forum for the discussion on ongoing or completed work in both theoretical and practical issues of adaptive and learning agents and multi-agent systems.
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 in multi-agent systems
- 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 agents systems to real world complex systems Learning of Co-ordination
Update: We are excited to announce
that Springer has agreed to publish a book
containing revised versions of the best papers
from the workshop (after an additional review
Page limit: 16 pages in LNCS format.
- Submission: June 26th
- Camera Ready: September 18th