72 search results - page 3 / 15 » No-regret learning and a mechanism for distributed multiagen... |
IAT
2010
IEEE
13 years 2 months ago
2010
IEEE
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...
TBILLC
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Applying multi-agent systems in real world scenarios requires several essential research questions to be answered. Agents have to perceive their environment in order to t...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
WIAS
2008
13 years 4 months ago
2008
Our system, based on a multiagent framework called collaborative understanding of distributed knowledge (CUDK), is designed with the overall goal of balancing agents' conceptu...
ATAL
2007
Springer
13 years 11 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...