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ATAL
2007
Springer
14 years 1 months ago
The effect of task and environment factors on M.A.S. coordination and reorganization
Research on organization of Multi-Agent Systems (M.A.S.) has shown that by adapting its organization, a M.A.S. is better able to operate in dynamic environments. In this paper we ...
Mattijs Ghijsen, Wouter N. H. Jansweijer, Bob J. W...
ATAL
2008
Springer
13 years 9 months ago
Efficient multi-agent reinforcement learning through automated supervision
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
MKWI
2008
123views Business» more  MKWI 2008»
13 years 8 months ago
Self-describing Agents
: Multi-Agent systems follow a highly abstract programming paradigm. of this abstraction level, behaviours of the participants are not always clearly reproducible for humans. In th...
Günther Görz, Bernd Ludwig, Peter Rei&sz...
EJIS
2007
115views more  EJIS 2007»
13 years 7 months ago
Towards agent-oriented model-driven architecture
Model-Driven Architecture (MDA) supports the transformation from reusable models to executable software. Business representations, however, cannot be fully and explicitly represen...
Liang Xiao 0002, Des Greer
APIN
2006
142views more  APIN 2006»
13 years 7 months ago
Achieving dynamic, multi-commander, multi-mission planning and execution
The Multi-Agent Distributed Goal Satisfaction (MADGS) system facilitates distributed mission planning and execution in complex dynamic environments with a focus on distributed goal...
Eugene Santos, Scott A. DeLoach, Michael T. Cox