2017国际自适应和学习代理研讨会 International Workshop on Adaptive and Learning Agents

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活动简介

Adaptive Learning Agents (ALA) encompasses diverse fields such as Computer Science, Software Engineering, Biology, as well as Cognitive and Social Sciences. The ALA workshop will focus on agents and multiagent systems which employ learning or adaptation.
This workshop is a continuation of the long running AAMAS series of workshops on adaptive agents, now in its fifteenth year.
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 multiagent systems. 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 multiagent systems.

征稿信息

重要日期

2017-02-14

初稿截稿日期

2017-03-17

初稿录用日期

2017-03-22

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征稿范围

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 multiagent learning
Reinforcement learning (single and multiagent)
Planning (single and multiagent)
Reasoning (single and multiagent)
Distributed learning
Adaptation and learning in dynamic environments
Evolution of agents in complex environments
Co-evolution of agents in a multiagent setting
Cooperative exploration and learning to cooperate and collaborate
Learning trust and reputation
Communication restrictions and their impact on multiagent 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 multiagent systems
Game theoretical analysis of adaptive multiagent systems
Neuro-control in multiagent systems
Bio-inspired multiagent systems
Applications of adaptive and learning agents and multiagents systems to real world complex systems