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Although we are now going to discuss new methods for taking higher value payments, we have to recognise that, today, none of them have really taken off, compared with the simple mechanism of typing in one s credit card details. Many people do appear to believe that the convenience of doing so outweighs the level of risk. Of course, surveys also indicate that there are a large number who do not shop on-line precisely because they do not trust the system. One way of lessening the risk of someone stealing your card details and reusing them later for fraudulent purchase, is to encrypt the card transaction using, for example the secure sockets layer (SSL) method, whose technical details are described on page 266. As shown in Table 3.1, the operational principles of SSL for nancial transactions are quite straightforward: the eCommerce server issues the customer s client machine with a public key, whose ownership is guaranteed by a trusted third-party, and which the client uses to encode the card details. This at least protects the link between the customer and the vendor; what happens thereafter may be another thing. The customer s card details can be decrypted by the merchant and thereafter used as the merchant sees t. A number of cases have occurred of merchants storing the card details in an unencrypted form in a database which has subsequently been hacked into. Notice also that the onus is on the customer to decide either to trust that the merchant s key is genuine, or to invoke a procedure which checks out the validity of the digital certi cate. There should be no problem with this



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quite a bit about them. We could continue the interviews to nd out about their future plans for their offspring thus producing more new knowledge. If we could manipulate data, information, knowledge, and understanding by combining a search engine, such as Google, with a reasoning engine, we could create a logic machine. Such an effort would be central to the development of arti cial intelligence (AI) on the Web. AI systems seek to create understanding through their ability to integrate information and synthesize new knowledge from previously stored information and knowledge. An important element of AI is the principle that intelligent behavior can be achieved through processing of symbolic structures representing increments of knowledge. This has produced knowledgerepresentation languages that allow the representation and manipulation of knowledge to deduce new facts from the existing knowledge. The World Wide Web has become the greatest repository of information on virtually every topic. Its biggest problem, however, is the classic problem of nding a needle in a haystack. Given the vast stores of information on the Web, nding exactly what you re looking for can be a major challenge. This is where search engines, like Google, come in and where we can look for the greatest future innovations to come when we combine AI and search. Larry Page and Sergey Brin found that the existing search technology looked at information on the Web in simple ways. They decided that to deliver better results, they would have to go beyond simply looking, to looking good.





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Winick (2000a) suggests a creative solution to maximize balancing between the considerations that Saccuzzo commends in support of his defense of mandatory arrest and those that Mills cites in support of her conclusion condemning it Winick suggests a law enforcement policy of presumptive arrest rather than mandatory arrest Under presumptive arrest, police generally would be required to effect an arrest when probable cause exists that domestic violence has occurred, but would not be required to do so when countervailing considerations argue strongly against arrest in the circumstances In such cases, the police would be required to justify a decision not to arrest by stating in writing the reasons they relied upon Such a presumptive arrest policy arguably would convey a similar message to both batterers and victims as that communicated by a mandatory arrest policy, but without as many of the antitherapeutic consequences that Mills (1999) warns about.

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and PB. Their membership (triangular) functions mNB ; mNS ; mZE ; mPS ; and mPB along the jth attribute (see Fig. 5.3) are de ned by 8 x 2aj > 1; < x 1; 2aj < x < aj mNB x aj > : 0; x ! aj 8 x 2aj ; x ! 0 > 0; > < x 2aj < x < aj 2 aj ; mNS x >x > : ; aj x < 0 aj 8 x aj ; x ! bj > 0; > < x; aj < x < 0 mZE x 1 aj 5:2 > >1 x ; : 0 x < bj b 8 > 0; > <x ; mPS x bj > > :2 x ; b

A similar societal message that domestic violence is wrong and will not be tolerated could be conveyed The message that domestic violence will usually result in arrest could also have a similar deterrent effect on future acts of violence Yet, a policy of presumptive arrest would permit the police to take into account the victim s perspective on whether arrest should occur in these circumstances, thereby providing her with a sense of voice and a measure of empowerment that can help her in the healing process Presumptive arrest, then, would seem likely to produce therapeutic value for both batterers and victims The therapeutic jurisprudence lens generates empirical questions: one may speculate on the therapeutic consequences of various legal arrangements or law reform proposals, but empirical research is often necessary to determine with con dence whether the law actually operates in accordance with the speculative assumption (Wexler, 1994).

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