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QUESTIONS What are two differences between programs that interact with a human via keyboard or mouse on-line in real-time and a program hard-wired to a process What objectives other than process control can real-time on-line fuzzy expert systems achieve What FLOPS command is used to input and output real-time on-line data How can obvious data artifacts be detected How can data be smoothed What characteristic of exponential smoothing is a possible disadvantage What useful purposes can the time delay introduced by exponential smoothing serve How can relatively high-frequency input noise be quantitated How can rates of change be corrected for the presence of second or third derivatives in the input data

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chromosomes (i.e., m weight sets) needs to be established, manipulated, and evaluated, in contrary to only m global weights in the global weight model. For the global weight model, it is straightforward to assign to the training cases m times the weights corresponding to the chromosomes of each generation and determine the overall error (or tness), whereas for the local weight model it is not so obvious how to measure the tness. Dubitzky and Azuaje implemented the aforesaid scheme to predict the change in coronary heart disease (CHD) risk over a certain period of time. CHD is a degenerative disease that is a result of an increase of atheroma (degeneration of artery walls caused by the formation of fatty plaques or scar tissue) in coronary artery walls, leading to total or partial occlusion (blockage). The resulting clinical feature is myocardial infarction (heart attack) and subsequently, death. The case features

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For example Sha r, Osherson and Smith (1990) showed that participants judged a much greater likelihood of all lawyers being conservative than every single criminal lawyer Here judged likelihood that a member of a particular class will demonstrate a particular characteristic is based on the perceived typicality (ie representativeness) of the given characteristic for the given category, rather than judging likelihood based on statistical probability In addition to the two major heuristics (or biases) discussed above, other faulty reasoning strategies with speci c relevance to legal decision-making have been identi ed Related to the availability heuristic is the so-called anchoring-and-adjustment heuristic As an example, calculate mentally, and fairly rapidly, an estimated answer to 8 7 6 5 4 3 2 1 Now in the same way, quickly calculate your answer to 1 2 3 4 5 6 7 8.

2 that 3GPP should include the majority of the work currently being performed in SMG but excluding those items of a European regulatory nature It was not possible to reach consensus on either of these views UGG also considered keeping ETSI TC SMG in its current form but opening up the membership to include other players by means of associate memberships and co-operation agreements UGG was unable to reach consensus on any of the views expressed but agreed to raise the issue to the Board for resolution Commenting on this today with hindsight and the knowledge of the further evolution within 3GPP, we can only smile But at that time, ie August/September 1998, the matter was discussed like the question within Macbeth: to be or not to be 9124.

Tversky and Kahneman (1974) found the median answer to the former to be 2250, and for the latter 512 Now the products must be the same because the numbers involved are identical and the commutative law of multiplication applies Why such divergent answers then The answer lies in the fact that multiplication of the rst few digits (the anchor) renders high or low estimate from which to make an adjustment to reach the nal estimate This anchoring-andadjustment heuristic has relevance to an issue currently being debated in Britain: whether a defendant s previous conviction should be made known before the conclusion of a trial The fact is that previous convictions do predict future convictions but not perfectly The relationship is probabilistic not certain Thus by presenting a defendant s previous conviction adds in a further uncertainty factor and clashes with the presumption of innocent until proven guilty The anchoring-and-adjustment.

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