With the help of a series of laboratory experiments we find that behavior can indeed be better controlled with social-preference-robust mechanisms.
We therefore introduce the notion of a social-preference-robust mechanism which works not only for selfish but also for social preferences of different nature and intensity, and characterize the optimal mechanism for this class.
The results of clustered data analyses with thresholds of 60%, 70%and80%0% for physician preference were robust (table 3).
More suited to our information age are "continuous flow" and "just in time" processes that accommodate ever shifting consumer tastes and preferences through robust feedback loops that link directly to the customer or cohort.
The current results indicate that as one moves from early visual areas to extra-occipital areas, topographic signals become difficult to detect while contralateral preferences remain robust and extend throughout the entire contralateral field.
First, different policy actors need to be aware of the understanding of the concept of evidence by others, including their preferences for robust evidence.
Interestingly, some of these results were confirmed more recently, yet no analysis was carried out so far comparing codon preferences using robust data on gene expression [ 39].
This paper presents a Fuzzy Preference Function-based Robust Multidisciplinary Design Optimization (FPF-RMDO) methodology.
In contrast, laboratory studies using more direct mate preference measures detected robust repeatability, additive genetic and permanent environment effects [46], [47], [62].
As can be seen in figure 4a, both R and NR mice displayed a robust preference for the cocaine-paired side during the initial PP test session.
Though rats responded each day on lever C to self-administer cocaine during the hour preceding choice (Fig. 5c), they nevertheless rapidly acquired a robust preference for lever S (Fig. 5d).
