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To do otherwise, I believe, seriously weakens and dilutes our message and our efforts It is probably fitting to conclude our discussion on controls with a reference to law enforcement, for to some degree they function in a highly similar manner Most people do not appreciate the subtleties of law enforcement and how misleading some of the terminology is if taken literally When we see a uniformed police officer, we may rightfully think of him or her as a law enforcement officer While that is technically true, and these officers do enforce the law, their primary function is crime prevention To some degree, of course, this is accomplished by writing tickets and making arrests; however, the bulk of their mission is accomplished through their presence and visibility That is one of the reasons, police sartorial instincts aside, that they try to wear highly visible and distinctive uniforms.

5 This decision tree classi er was implemented by the rst author of this book, see also [Borgelt 1998] and [Borgelt and Timm 2000]).

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There is a logic to those large badges, Sam Browne belts, and Smokey the Bear hats The theory is that by their very visibility, crime is prevented Detectives, on the other hand, try to dress much like civilians, but do not really detect crime; they investigate it after it has already occurred What they are trying to detect is not the crime itself that is already known They are trying to detect who committed the crime Even sworn law enforcement officers are affected by the existence of rules, or perhaps more accurately, the proliferation of rules Authors Robertson and Simpson have cited a survey by the Traffic Injury Research Foundation in which 2,700 police officers in 16 states were.

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at base this merely relocates the problem For psychology, the primary issue is the decision-maker Reasoning can be seen to involve either hypothetico-deductive reasoning or inductive reasoning: that is, moving from the general to the particular or from the particular to the general Many decision errors relate to, or involve, issues of probability, and thus are directly relevant to legal issues and decision-making The key point to grasp is that psychology has long rejected the concept of rational decision-making based upon the normative economic-based belief that humans are rational actors In situations of uncertainty, or information overload, humans adopt a number of heuristics or rules of thumb which help to arrive at decisions Unfortunately these heuristics can lead to error (eg Kahneman and Tversky, 1972, 1973, 1984).

2.2.3.2 Signal Processing The major software functions performed by navigation computers for strapdown systems are shown in block form in Fig. 2.3. The additional processing functions, beyond those required for gimbaled inertial navigation, include the following: 1. The blocks labeled ``Coordinate transformation update'' and ``Acceleration coordinate transformation'' in Fig. 2.3, which essentially take the place of the gimbal servo loops in Fig. 2.2. In effect, the strapdown software maintains virtual gimbals in the form of a coordinate transformation from the unconstrained, body- xed sensor coordinates to the equivalent sensor coordinates of an inertial platform. 2. Attitude rate compensation for accelerometers, which was not required for gimbaled systems but may be required for some applications of strapdown systems. The gyroscopes and gimbals of a gimbaled IMU were used to isolate the accelerometers from body rotation rates, which can introduce errors such as centrifugal accelerations in rotating accelerometers.

Fundamentally, we use some of the information that is available to us, and disregard or discount other information which might be available and be more informative One such heuristic is that of representativeness As an example, if all the families having exactly six children in a particular city were surveyed and it was shown that 72 of the families had a birth order of boy (B) and girl (G) of GBGBBG, what is your estimate of the number of families surveyed who would have had the birth order BGBBBB The best estimate is again 72, because the gender of each birth is independent (at least, theoretically) of the gender of every other birth, and for any one birth the chance of a boy or a girl is 05, ie 1 out of 2.