It is well-known that, in experimental settings, people do not adopt the predicted strategies, outcomes, and equilibria.
These studies also suggest that humans also routinely use hybrid strategies, and that the ratio between cognitive load and relative utility mediated by situational factors influences, and when modeled, could successfully predict strategy choice.
Note that the Paper Folding Test, which typically correlates with tests of general intelligence, (e.g., Visser, Ashton, & Vernon, 2006), did not significantly predict strategy choice in any of our models, suggesting that pre-existing individual differences in intelligence are not driving the relationship seen between mechanistic knowledge and strategy choice.
Based on the results obtained in the two experiments, we conclude that web designers are not able to predict strategies of novice users and do not behave like novice users.
By decentralizing the means in which content is delivered and creating a global network for users, the space would allow for the inclusions of new technologies like artificial intelligence (AI) and other forms of machine learning, helping to craft and predict strategies for content delivery in real-time.
The paucity of pertinent information and the inherent complexity of the system call for mathematical modeling to formally describe and quantify the co-development of malignancy and immunity, and to predict strategies for additional immune manipulation to enhance clinical outcomes.
These examples help to illustrate that predictions and simulations in silico are likely to play an increasingly important role in predicting strategies for mutagenesis in vitro.
Their findings suggest that the most cost-effective strategy predicted was the strategy of replacing SLNB with MRI.
He predicted the strategy would fail.
Saunders predicted the strategy would likely present a spectrum of engagement possibilities and the various threats associated with each.
Again, we observe little evidence in line with the predicted mixed strategy equilibrium.
