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...
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¬...
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-...
ā Evolutionary Robotics provide efļ¬cient tools and approach to address automatic design of controllers for automous mobile robots. However, the computational cost of the optimi...
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...