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Clearly, basically all steps are completely analogous to the computations shown on pages 79f. The only difference is that in the last step we cannot get rid of the factor maxc dom(C) P(C = c | B = b) due to the maximum (having a sum in its place allowed us to reduce this factor to 1). Of course, analogous computations can also be carried out for Pmax (C = c | A = aobs ) or Pmax (B = b | A = aobs , C = cobs ), which would correspond to the computations on page 81 and page 82, respectively. However, we leave working out these computations as a simple exercise for the reader. As a final remark let us point out that both relational and possibilistic propagation (which are formally equivalent) rely on max{min{x, y}, min{x, z}} = min{x, max{y, z}} to simplify the expressions in the computations on pages 71ff which nicely complements the two distributive laws stated above for the probabilistic case. As a consequence, we can distinguish three schemes: Probabilistic 1: The goal is to compute conditional probabilities given the observations (but independent of the values of other attributes). This is achieved by exploiting the product-sum distributive law. Probabilistic 2: The goal is to compute the probability (and the values) of a most probable tuple given the observations. This is achieved by exploiting the product-maximum distributive law. Possibilistic: The goal is to compute the degree of possibility (and the values) of a most possible tuple given the observations. This is achieved by exploiting the minimum maximum distributive law.

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pable of adequately capturing the financial impact of such assets on balance sheets.5 We as a society have come to the point that we are willing to pay large amounts of money for what is in people s heads, rather than the output of their hands. As one wit once put it, My inventory goes home every night at 5 p.m. If I dream up a valuable idea on company time and then sell it in the marketplace for my personal benefit, have I committed occupational fraud This is not an absurd theoretical question; there have actually been lawsuits on this very issue.6 Some sense of the scope and significance of intellectual property, and its corresponding importance to American business operations, can be gleaned from the fact that IBM alone makes an estimated $1.7 billion each year on its patents. Two experts in the field, Kevin Rivette and David Klein, estimate in their book, Rembrandts in the Attic, that U.S. companies lose $1 trillion each year by not capitalizing on their patents.7 While the cases involving high-profile authors may grab the public s attention for a week or two, issues involving the compromise of intellectual property continue every day in a dizzying variety of fields: House designs8 Real estate market data9 Women s fashions10 Automobile design technology11 Music12 Waste management data13 Microchip trade secrets14 Plant seeds15 Adhesive labels16 Photographic film17 Motor oil additives18 Glass19 Videocassettes20 Software21 Soup22 Plastics23 Soft drinks24 Oil field data25

State (4) shows, for example, the final stages of black hole simulations in the real-world astrophysics example, which ran on machines at the National Center for Supercomputing Applications (NCSA) and the National Energy Research Scientific Computing Center (NERSC) As the initial simulation runs, the application might also perform near real-time analysis of the output data and detect important events, specific to the application In some cases, this detection can trigger the spawning of a new finer grain simulation at a remote cluster, according to the availability on the global Grid (5) A slow part of the simulation runs asynchronously, so the application might spawn that part separately Finally, an end-user could interact with the simulation and perform computational steering, ie, interactive control over computational process during run-time (6).

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As this simple example shows, there may be at least six different applicationinitiated connections: connection for the code migration; connection to the data retrieval/storage; connection for alternative computing sites; connection for parallel simulations; connection to visualization resources with real-time characteristics; connections between the researchers and all involved Grid resource sites for steering These and similar scenarios demonstrate that there are unique and challenging demands on the optical network connection provision, as dictated by applications..

In Europe, activities supported by the European TRIPARTITE Group [European Space Agency (ESA), European Commission (EC), EUROCONTROL] are under2

Standard data representations are used to map between data representations that are specific to the host or programming language. As shown in Figure 5.11, the middleware performs two mappings; the native representation of one host or programming language of the client maps onto the standard data representation and the standard data representation maps onto that of the host or programming language of the server object. Note that these mappings maybe necessaryeven if the client and the server reside on the same host, if they are written in different programming languages.

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