We suggest that the interaction between the frontal lobes and basal ganglia output nuclei in semantic event sequencing can be generalized to include the sequential ordering of behaviors in which the selective updating of neural representations is the key computation.
However, if correlations or rank orders of behaviors change over time, then detecting such associations will entirely depend on when measures are taken and could give wildly different results (Kluen and Brommer 2013).
We were able to quantify genetically based differences in the speed of courtship progression, the order of courtship behaviors, and rates of initiation of courtship behaviors and copulation.
For example, we discovered segmentations based on: (a) the number of collective behaviors; (b) the shopping time and the amount of the expenditure; and (c) the frequency of the sequential order of specific behaviors.
However, genetic variation in courtship patterns provides the substrate for response to natural or sexual selection for courtship duration, copulation duration, and even the order of courtship behaviors.
However, it does open the possibility of less divergent rulings on areas such as pricing interoperability of software, making orders of changed behavior by firms more workable internationally, and therefore rendering anti-trust law more effective in the future.
This paper argues that DSS design and problem formulation in such a context raises ethical issues, as DSS development and use puts one party, the designers, in the position of imposing order on the behavior of others.
Upon lowering the unloading rate by one order of magnitude, ductile behavior is induced and shear faulting is suppressed.
Some related problems, such as effective sample size, the order of imputation, the behavior of weights, and sensitivity to the choice of prior distribution, are also analyzed in detail.
In contrast, if a BDIM has a non-zero order of balance, asymptotic behavior is observed.
A sensitivity analysis demonstrated that for the majority of parameters, increasing or decreasing their value did not affect the behavior of the system, suggesting that when the degradation rates and the repression parameters for all three TFs were of the same order of magnitude, the behavior of the model was robust (Table S3).
