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With the derived policy iterations obtained using the clustering process (i.e. iteration 12-20), the fairness is reasonably good and constant (i.e. channel rate only varies from 5 to 6.5).
The resulting performance with random and the best derived policy rule set (corresponding to the best cluster centre) are shown in Figures 2 and 3, respectively (and the overall user dissatisfaction obtained over the entire sequence, for individual users and in total, are summarised in Table 3).
For the case of tLow = 200 ms, the finally derived policy thresholds (i.e. corresponding to the best cluster centre vectors over ten iterations) are tHigh 1 = 250, tHigh 2 = 530, chacLow 1 = 6.0 and chacLow 2 = 2.2, which implies user 1 exhibits more proactive and reactive opportunistic behaviour than user 2 while user 3 remains static on the same channel.
Some of the lessons learned from the dangers of legislation like SOPA should be the need for forbearance and a well-researched, multi-stakeholder derived policy to avoid unintended consequences.
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Others can in retrospect appreciate the value and importance and influence of the vision without endorsing the derived policies.
Therefore, slower convergence of the derived policies and lower channel utilisation are the main drawbacks of not knowing or being able to control how the application adapts its rate.
Table 3 Overall dissatisfaction (per user d and total D) with equal weighting--for random and derived policies (tLow = 150 ms) Policy d 1 d 2 d 3 Total (D) Random 7.367104 10.09998 9.950516 27.4176 Derived 8.9951 8.85843 8.014565 25.8681 Figure 4 Average rate ( n ) performance over successive policy set iterations ( tLow = 100 ms).
The results with only the best policy rule set, corresponding to the cluster centre which exhibits the lowest user dissatisfaction, are then selected and the results shown in Figure 3. Figure 2 Distribution of media delivery performance for random policies ( tLow = 150 ms). Figure 3 Distribution of media delivery performance with derived policies ( tLow = 150 ms).
This implies that the average overall activity for both channel states is (λ2 + 3λ1)/4 = 11 for tLow = 200 ms and is (λ2 + (2.5).λ1)/3.5 = 10.8 for tLow = 150 ms, which is also a marginal improvement in overall average observed channel activity for tLow = 200 ms. Figure 5 Overall dissatisfaction for derived policies versus tLow.
A final section concludes and derives policy recommendations.
This paper critiques the strategy of public innovation policy in general and derives policy implications.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com