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» Learning of Agents with Limited Resources
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105
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AAAI
2004
15 years 1 months ago
Making Better Recommendations with Online Profiling Agents
In recent years, we have witnessed the success of autonomous agents applying machine learning techniques across a wide range of applications. However, agents applying the same mac...
Danny Oh, Chew Lim Tan
104
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AAMAS
1999
Springer
15 years 5 days ago
Learning Situation-Specific Coordination in Cooperative Multi-agent Systems
Achieving effective cooperation in a multi-agent system is a difficult problem for a number of reasons such as limited and possiblyout-datedviews of activitiesof other agents and ...
M. V. Nagendra Prasad, Victor R. Lesser
137
Voted
WIAS
2008
128views more  WIAS 2008»
15 years 11 days ago
Considering operational issues for multiagent conceptual inferencing in a distributed information retrieval application
Our system, based on a multiagent framework called collaborative understanding of distributed knowledge (CUDK), is designed with the overall goal of balancing agents' conceptu...
Leen-Kiat Soh
ATAL
2003
Springer
15 years 5 months ago
How to calm hyperactive agents
System performance in multi-agent resource allocation systems can often improve if individual agents reduce their activity. Agents in such systems need a way to modulate their ind...
H. Van Dyke Parunak, Sven Brueckner, Robert S. Mat...
AAMAS
2007
Springer
15 years 19 days ago
Local strategy learning in networked multi-agent team formation
Abstract. Networked multi-agent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply cha...
Blazej Bulka, Matthew E. Gaston, Marie desJardins