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ICCBR
2005
Springer
16 years 19 days ago
CBR for Modeling Complex Systems
This paper describes how CBR can be used to compare, reuse, and adapt inductive models that represent complex systems. Complex systems are not well understood and therefore require...
Rosina Weber, Jason M. Proctor, Ilya Waldstein, An...
MSWIM
2004
ACM
16 years 17 days ago
Quantile models for the threshold range for k-connectivity
This study addresses the problem of k-connectivity of a wireless multihop network consisting of randomly placed nodes with a common transmission range, by utilizing empirical regr...
Henri Koskinen
IDEAL
2009
Springer
15 years 11 months ago
The Winning Advantage: Using Opponent Models in Robot Soccer
Opponent modeling is a skill in multi-agent systems (MAS) which attempts to create a model of the behavior of the opponent. This model can be used to predict the future actions of ...
José Antonio Iglesias, Juan Antonio Fern&aa...
WSC
2007
15 years 9 months ago
Agent-based modeling and simulation: desktop ABMS
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way...
Charles M. Macal, Michael J. North
WSC
2008
15 years 9 months ago
Agent-based modeling and simulation: ABMS examples
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way...
Charles M. Macal, Michael J. North