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If all this isn t enough, there is one more way to push the boundaries of shape layers and wring the last vestiges of cogent reasoning out of your by-now fragile mind. How By adding a layer mask to a shape layer. That s right, Photoshop lets you combine pixel masking and vector masking on one layer, as shown in Figure 14-7. Why do it Well, of course, there s always the chance it appeals to a latent strain of masochism on your part. But also, a layer mask permits you to soften some edges of a clipping path and leave others razor sharp. For example, in the figure, I added a black circle to the layer mask and blurred it to make the clover fade in a circular pattern toward its interior. Or you might want to feather an edge. Or add a motion blur. Or, again, just make yourself nuts. In any case, start with a shape layer. Then click the Add Mask icon at the bottom of the Layers palette and start painting away.



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This approach is very general; however, system (5.114) always has a degenerate solution for V = 0, as said above. Since no equivalent of condition (5.2) for the linear case exists for a nonlinear system of equations, the degenerate solution cannot, in principle, be eliminated unless additional conditions are added. Two main approaches have been proposed that are described hereafter. A rst approach [19] consists of dividing the currents in eq. (5.113) by the amplitude of the voltage in the circuit; in case voltages and currents both tend to zero, eq. (5.113) is not satis ed, because the left-hand side tends to a nite non-zero limit. The amplitude of the voltage can be de ned, for example, as the quadratic sum of the amplitudes of all voltage phasors in the circuit, so as to avoid the improper choice of a voltage with zero or negligible amplitude. System (5.113) can thus be rewritten as I L (V ) + I NL (V ) |Vn |2





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The functional stance, related to the brain as the neurological tissue in our head, describes our cognitive architecture An architecture without content is empty In cognitive science, representations (or symbol structures) form the content As basic constituents of our thinking, they concern images, propositions, semantic nets, scripts, and other expressions of mental content (Jorna, 1990) For example, if a person is doing errands, it means that this person builds up a mental model of the shops he has to visit Operations on these representations are called activities of symbol manipulation Within cognitive science the conceptual framework to deal with representations can be found in the approaches of classical symbol systems, of connectionism, and of situated cog nition (Posner, 1989; Newell, 1990, Dolling, 1998; Smolensky, 1988; Jorna, 1990).

Here s how you create a hyperlink: 1. Select one or more objects in your drawing. The hyperlink will be attached to these objects. 2. Choose Insert Hyperlink (or Ctrl+K) to open the Insert Hyperlink dialog box, shown in Figure 28-4. (If you start the command first, select objects at the prompt.)

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The basic idea is that humans as information processing systems have and use knowledge consisting of representations and that reasoning, problem solving, and planning consist of manipulations of these representations at a functional level of description A system that internally symbolizes the environment is said to have (mental) representations at its disposal A representational system learns by means of chunking mechanisms and symbol transformations (Newell, 1990) A cognitive architecture, consisting of memory components, perceptual and motor systems, and various kinds of central processors (Posner, 1989), implements the design and organization of the human mind It is meant to present the various functions and properties of the mind and their interrelations An architecture imposes all kinds of constraints on functioning The most widely known cognitive architecture is a production system.

Figure 21.25 Medical Imaging and Computing for Uni ed Information Sharing (MEDICUS) uses the Globus Toolkit as a base for image communication. Its work ow is shown in this gure. Compare the logical similarity in the Globus components between the architecture and the data ow of this diagram with those of Figures 21.6, 21.8, 21.12, and 21.18. (Courtesy of MEDICUS)

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A production system describes the human mind as consisting of a working memory, a collection of production rules, and a set of priority rules that determine the order of ring of production rules A production rule itself is a condition action combination Production systems started with the General Problem Solver (GPS; Newell, Shaw, and Simon, 1958) SOAR (Laird, Rosenbloom, and Newell, 1986) is an implementation of the production system architecture, consisting of mechanisms to learn other production rules and to make decisions Another more extended implementation of this cognitive architecture is ACT-R (Anderson and Lebiere, 1998) If we use this cognitive approach to look at planning, we can also formulate this as the bottom-up approach It starts with planners, their task execution, and their.

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