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It is obvious that there are huge dif culties that need to be overcome before AI programs resemble thinking machines Many of these obstacles will remain insurmountable for the foreseeable future at least, despite all the best efforts of AI researchers and the business community to create more robust AI programs Breakthroughs in areas such as computer vision, language understanding, and machine learning as well as better AI algorithms to deal with intractability will all contribute to the progress of AI, and hopefully narrow the gap that exists between the clunky programs and robots of today and the AI programs of tomorrow It is not the goal of this book to address what needs to be done to bridge this gap and create machines and programs that can more closely resemble human thinking.

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Rather, this book turns its attention to what will increasingly become an important and central component of AI systems: the user interface, in particular the graphical user interface, which will increasingly use diagrams and various other graphical representations to aid in system understanding As AI technologies become more widely used in the future, the graphical user interface is likely to take on a more prominent role There are at least two reasons for this prediction First, given the limitations of AI systems and the unlikelihood of their being resolved in the near future there will be a more urgent need to create user interfaces that are better able to cope with an AI system s weak spots.

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inline double potential_profit_min_account_alg(const Prices& prices, const vector<Cost<SpecAbsoluteCost> >& costs, unsigned int nContracts, double imargin, double mmargin, Strategy& pps) { // Checks input if(imargin <= 0.0) { ostringstream s; s << "potential_profit_min_account_alg: imargin " << imargin << " (initial margin) must be positive"; throw invalid_argument(s.str()); }

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over oceanic crust dating back to the Jurassic. Although there is no oceanic crust older than this, paleomagnetic investigations on land have shown that geomagnetic reversals have occurred at least back to 2.1 Ga. That spreading rates have varied with time is apparent from an examination of magnetic pro les from different oceans. Examples are given in Fig. 4.11 in which the spreading rate in the South Atlantic is assumed to be constant and the distances to various magnetic anomalies from ridge crests in other oceans are plotted against the distance to the same anomaly in the South Atlantic. In ection points in the curves for the other oceans indicate when the spreading rates changed there if the implicit assumption that the spreading rate has remained constant in the South Atlantic is correct. However, spreading rates may have changed with time in all oceans. The rst long-term geomagnetic timescale was constructed by Heirtzler et al. (1968). Again they made the assumption that spreading in the South Atlantic had remained constant at the same rate as had been deduced for the last 4 Ma. A model of normal and reversely magnetized blocks was constructed which simulated the observed anomaly pattern, and the distance axis transformed into a geomagnetic timescale of reversals extending back in time nearly 80 Ma. Prominent anomalies corresponding to periods of normal polarity were numbered from 1 to 32 with increasing time (Fig. 4.10). Leg 3 of the Deep Sea Drilling Program (DSDP), in 1968, was speci cally designed to test the hypothesis of sea oor spreading and the assumption of a constant

As discussed earlier, AI systems that are rigid dialogues are unable to deal gracefully with their lack of commonsense reasoning such as, their inability to process uncertain and incomplete data and their inability to retrieve knowledge ef ciently A user interface that can, at least in part, deal with these weaknesses.

BlendTrans*

The power of repeating elements is that they are simply HTML. There is no need to learn proprietary languages to customize Library items. Anything, except for information found in the header of a Web page, can be included in a Library file. The importance of the <!-- #BeginLibraryItem> and <!-- #EndLibraryItem> tags becomes evident when you start to update Library items for a site. You examine how Dreamweaver can be used to automatically update your entire Web site in the section Updating Your Web Sites with Libraries, later in this chapter.

4.15 [204] Let g ( x ) be the generator polynomial of a binary cyclic code of length n. (a) Show that if g ( x ) has x 1 as a factor then the code contains no codevectors of odd weight. Hint: The following is true for any ring F[x]:

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