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JPDC
2006
106views more  JPDC 2006»
13 years 10 months ago
Adaptive algorithms for the dynamic distribution and parallel execution of agent-based models
We propose a framework for defining agent-based models (ABMs) and two algorithms for the automatic parallelization of agent-based models, a general version P-ABMG for all ABMs def...
Matthias Scheutz, Paul W. Schermerhorn
ML
2006
ACM
122views Machine Learning» more  ML 2006»
13 years 10 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
IJCV
2007
146views more  IJCV 2007»
13 years 9 months ago
Statistical Multi-Object Shape Models
The shape of a population of geometric entities is characterized by both the common geometry of the population and the variability among instances. In the deformable model approach...
Conglin Lu, Stephen M. Pizer, Sarang C. Joshi, Ja-...
SWARM
2008
SPRINGER
115views Optimization» more  SWARM 2008»
13 years 9 months ago
Path formation in a robot swarm
We present two swarm intelligence control mechanisms used for distributed robot path formation. In the first, the robots form linear chains. We study three variants of robot chains...
Shervin Nouyan, Alexandre Campo, Marco Dorigo
IJRR
2007
171views more  IJRR 2007»
13 years 9 months ago
Creating High-quality Paths for Motion Planning
Many algorithms have been proposed that create a path for a robot in an environment with obstacles. Most methods are aimed at finding a solution. However, for many applications, ...
Roland Geraerts, Mark H. Overmars