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In particular, existing models and algorithms were incorporated in designing the behavior of relevant agents such as car-following and headway distribution.
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The specific rules that determine the behavior of the relevant agents are presented in Table 1.
Rebound effect refers to the phenomenon that the actual reduction in energy use and emissions is less than the expected reduction caused by an energy efficiency improvement due to induced behavior adjustment of relevant economic agents.
While agents within a class will have the same rules for behavior, the behavior of individual agents varies because of differences in local conditions.
The stochastic behavior of the agents was partially attributed to the random motion of the molecules.
Rather, relevance is grounded in behavior of an agent.
Usually, the temporal behavior is modeled as a time series, where time explains the behavior of the relevant variable.
Unfortunately, difference equations can be an extremely awkward way to specify the behavior of agents with complicated algorithmic behavior.
CRRT significantly influences the pharmacokinetic and pharmacodynamic behavior of most antimicrobial agents.
Distributed exponential discounting factors produce hyperbolic discounting in the behavior of the agent itself.
Emergent behavior results from the individual behavior of each agent, and spatio-temporally determined interactions among agents [ 20].
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CEO of Professional Science Editing for Scientists @ prosciediting.com