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State-dependent memory is one example of encoding specificity. If an individual encodes information while intoxicated he or she, ideally, should match that state when attempting to recall the encoded information. This type of state-dependent effect is strongest with free recall rather than when strong retrieval cues are present. [16]
Connectionist Learning with Adaptive Rule Induction On-line (CLARION) is a computational cognitive architecture that has been used to simulate many domains and tasks in cognitive psychology and social psychology, as well as implementing intelligent systems in artificial intelligence applications.
The categories were not made apparent in the original list. Participants in the free recall group were asked to write down as many words as they could remember from the list. Participants in the cued recall group were also asked to recall the words, but this group was provided with the names of the categories, "birds", "furniture", and ...
Free recall describes the process in which a person is given a list of items to remember and then is tested by being asked to recall them in any order. [6] Free recall often displays evidence of primacy and recency effects. Primacy effects are displayed when the person recalls items presented at the beginning of the list earlier and more often.
In a backward digit span task, the procedure is largely the same, except that subjects being tested are asked to recall the digits in backward order (e.g., if presented with the following string of numbers "1 5 9 2 3," the subject would be asked to recall the digits in reverse order; in the case, the correct response would be "3 2 9 5 1").
The FBI identified Shamsud Din Jabbar of Texas as the suspected truck driver who crashed into a New Year's Eve crowd at high speed in New Orleans.
In a classification task, the precision for a class is the number of true positives (i.e. the number of items correctly labelled as belonging to the positive class) divided by the total number of elements labelled as belonging to the positive class (i.e. the sum of true positives and false positives, which are items incorrectly labelled as belonging to the class).
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