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The physical phenomena are identical in principle and very similar in results for optical waves and radio waves, but in the case of radio systems, the wavelengths are better adapted to broadcasting. Returning to positioning systems, many approaches are then possible, using either the power levels received, the time of ight, or the direction of arrival of the signals.

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One method of combining models is to use simple voting. For each record, each model supplies a prediction of either response (1) or nonresponse (0). We may then count the votes that each record obtains. For example, we are presently applying four classi cation algorithms to the promotion response problem. Hence, records may receive from 0 votes up to 4 votes predicting response. In this case, therefore, at the overall level, we may predict a positive response to the promotion based on any one of the following four criteria: A. B. C. D. Mail a promotion only if all four models predict response. Mail a promotion only if three or four models predict response. Mail a promotion only if at least two models predict response. Mail a promotion if any model predicts response.

methodological artifact but rather could be used as a method of studying attention itself Furthermore, the underlying conception that processing was a serial and linear process would be challenged, and reaction time would provide the vital measures It was Saul Sternberg, in a series of visual search and recognition studies (eg, Sternberg, 1967), and Ulric Neisser in his 1967 book Cognitive Psychology, who rebuilt the reputation of reaction-time methodology They turned the apparent breakdown of the subtractive method into an investigative tool Thus, in those instances in which addition of tasks or sensory inputs increases reaction time, we clearly have a serial processing system where the output from an earlier stage of processing becomes the input for the next stage of processing Because of this serial sequence, processing times increase as the number of mental operations increases.

However, in those instances where adding tasks, stimuli, or sensory channels does not increase the reaction time, we are dealing with a parallel and perhaps distributed processing network where many operations are occurring simultaneously In this way, reactiontime methodology allows us to ascertain the pattern or network of processing and not simply the complexity of processing An example of parallel processing as it was originally conceptualized can be seen in a visual pattern recognition theory that emphasized feature extraction processes that all occur at the same time It was originally called pandemonium, because, as a heuristic device, each stage in the analysis of an input pattern was originally conceived of as a group of demons shouting out the results of their analyses (Selfridge, 1959).

According to the model, the contents of the retinal image are simultaneously passed to each of a set of feature demons, which actually are neurons that act like lters to detect speci c features All of these neurons do their processing at the same time, since copies of the original stimulus input are passed on to a number of neurons simultaneously The response of these ltering neurons (the loudness with which the demons shout) is proportional to the t of the stimulus to the lter s template These outputs are judged simultaneously by a large set of cognitive demons, which are actually more complex lters or neurons that respond to a particular combination of features in proportion to their t to the template One of these will be a best t, and thus respond most vigorously.

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At the nal stage, a decision demon listens to the pandemonium caused by the yelling of the various cognitive demons It chooses the cognitive demon (or pattern) that is making the most noise (responding most vigorously) as the one that is most likely to be the stimulus pattern presented to the sensory system and represents this as the nal conscious percept Such parallel-distributed processing theories have become popular because they are easily represented in a network form and thus can be implemented and.

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