Sentence examples for unambiguous preference from inspiring English sources

In the United States the tendency since the mid-1960s has been to sacrifice human reputation and privacy to the First Amendment, with its unambiguous preference for free speech.

These regions were then interrogated for differences among the mentalizing scenarios by comparing the parameter estimates associated with the 4 mentalizing trial types: unambiguous belief, unambiguous preference, ambiguous belief, and ambiguous preference.

This pattern of responding was observed for both beliefs (88% agreement for unambiguous belief vs. 53% agreement for ambiguous belief inferences) and preferences (84% agreement for unambiguous preference vs. 51% agreement for ambiguous preference inferences).

In the current study, unambiguous preference scenarios supported highly certain inferences because of what perceivers knew about their protagonists (i.e., the person), for example, that someone chose a particular item consistently despite having other options.

One possibility is that activity in vMPFC, which responded more during unambiguous inferences about preferences than during unambiguous inferences about beliefs (P < 0.02), could be associated specifically with person-focused attribution (Mitchell et al. 2005).

Recall the preference for unambiguous gambles in the Ellsberg game in section 2.1.

Industry specialists argue the law is unambiguous.

We first identified regions of interest from the comparison of mentalizing > nonsocial (i.e., all unambiguous and ambiguous belief and preference stories vs. nonsocial control stories).

The stylebook prefers the unambiguous "departing".

Comparisons across past studies have observed greater MPFC activation during relatively ambiguous inferences about preferences than during relatively unambiguous inference about beliefs, concluding that the relevant difference was in the type of mental state being considered (Van Overwalle 2009).

The generated values, variously called utilities, preferences or weights, are often unambiguous; e.g., a value of 1.0 stands for 'perfect health', 0.0 for 'death'death