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IAT
2003
IEEE
15 years 9 months ago
Discovery of Emergent Natural Laws by Hierarchical Multi-Agent Systems
This paper defines an approach to simulation of natural systems, inspired by complex systems theory. A complex natural system is modeled as a multi-agent simulation system, agents...
Henk Stolk, Kevin Gates, Jim Hanan
ISSS
2002
IEEE
144views Hardware» more  ISSS 2002»
15 years 8 months ago
A Visual Approach to Validating System Level Designs
This paper proposes a simulation-based methodology for validation of a system under design in an early phase of development. The key element of this approach is the visual speciļ¬...
Jürgen Ruf, Thomas Kropf, Jochen Klose
146
Voted
CORR
2010
Springer
182views Education» more  CORR 2010»
15 years 3 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein
124
Voted
ROBIO
2006
IEEE
123views Robotics» more  ROBIO 2006»
15 years 9 months ago
Evolutionary Robotics, Anticipation and the Reality Gap
— Evolutionary Robotics provide efficient tools and approach to address automatic design of controllers for automous mobile robots. However, the computational cost of the optimi...
Cédric Hartland, Nicolas Bredeche
115
Voted
WSC
2008
15 years 6 months ago
On step sizes, stochastic shortest paths, and survival probabilities in Reinforcement Learning
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Abhijit Gosavi