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100
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IAT
2009
IEEE
15 years 6 months ago
Learning in a Fixed or Evolving Network of Agents
This paper investigates incremental multiagent learning in static or evolving structured networks. Learning examples are incrementally distributed among the agents, and the object...
Gauvain Bourgne, Amal El Fallah-Seghrouchni, Henry...
131
Voted
AIR
2006
152views more  AIR 2006»
15 years 2 months ago
Machine learning: a review of classification and combining techniques
Abstract Supervised classification is one of the tasks most frequently carried out by socalled Intelligent Systems. Thus, a large number of techniques have been developed based on ...
Sotiris B. Kotsiantis, Ioannis D. Zaharakis, Panay...
119
Voted
ATAL
2008
Springer
15 years 4 months ago
Using multi-agent potential fields in real-time strategy games
Bots for Real Time Strategy (RTS) games provide a rich challenge to implement. A bot controls a number of units that may have to navigate in a partially unknown environment, while...
Johan Hagelbäck, Stefan J. Johansson
ESAW
2000
Springer
15 years 5 months ago
Models of Coordination
While software is becoming decomposed in more and more finegrained entities, the interactions amongst those become of major importance. While methodologies for building such compon...
Robert Tolksdorf
106
Voted
EUROPAR
2007
Springer
15 years 8 months ago
SymGrid: A Framework for Symbolic Computation on the Grid
This paper introduces the design of SymGrid, a new Grid framework that will, for the first time, allow multiple invocations of symbolic computing applications to interact via the ...
Kevin Hammond, Abdallah Al Zain, Gene Cooperman, D...