Sentence examples for behavior of experts from inspiring English sources

24 Concerning the second device to influence the behavior of experts, we fail to confirm the behavioral relevance of allowing for a money-burning option of the consumer.

This MCC work describes the behavior of experts in a distributed supervisory coordination framework, which extends supervisory control/command and control models of human task performance.

Specific survey instruments were adapted from prior work, including Ion et al.'s study comparing behaviors of expert and non-expert users, Stobert and Biddle's investigation of how users manage passwords, as well as Stobert's work on graphical passwords and password management [8, 29, 30].

Weber, more astutely, argues that arbiters like Lewis function effectively as parodies of authority: "the lessons are so shallow, the uptight behavior of the experts so much less engaging than the ebullience of the subjects, that these 'learn to be proper' shows in many ways rebuke the very transformations they portray".

"Knowledge engineers" attempt to codify the behavior of human experts as a series of if-then rules regulated by logic gates.

Furthermore, suppose that the moderately guilt-averse expert knows that for a rational consumer burning money is only a best reply if he has at least somewhat optimistic beliefs about the behavior of the expert.

Such an approach can mimic the behavior of the expert annotator who generally first identifies the tissue type of a cell (e.g. intestine) then assigns it the lineage-specific label, selecting from those available within its tissue type.

The theoretical prediction here would have been that giving the consumer an opportunity to burn money changes the behavior of the expert even when the option is not used.

Information transmission is not the primary goal of ritual since the participators cannot understand the language or behaviors of ritual experts on many occasions (Humphrey and Laidlaw 1994).

In our case, the behavior of the human expert is modeled by the function Π s), which returns 1 if s is an attack and 0 otherwise.

These fuzzy decision-making systems are used to capture the decision-making behavior of a human expert while giving the appropriate diagnosis [2, 17], i.e., it must mimic the input/output mapping of this human expert.