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Agents behavior is simulated when the production efforts are a direct consequence of how individuals (in our simulation: SOM nodes) allocate their time and energies between working and studying, thus defining corresponding consumption and savings patterns.
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Transient behavior was simulated when rapid changes and periodic oscillations of the gas turbine load are imposed.
The material behavior was simulated using finite element method.
Steady state and unsteady state process behaviors were simulated.
Usually, the diffusion behaviors were simulated by linear Laplace diffusion items [9 16].
When positive selection is simulated for ORF1 but negative selection is simulated for ORF2, 0.9/ω1 was assigned to a.
A moving person with different moving speeds is simulated to represent the movement behaviors.
Behavior of the wheel spider rolling on the slope is simulated for motion analysis.
Waterboarding is simulated drowning.
This is simulated stock trading.
Experiments show that anticipatory adaptive behavior can be simulated by exploiting the evolving anticipatory model for even faster model learning, planning applications, and adaptive behavior beyond reinforcement learning.
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