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To avoid unexpected results, be careful when setting the Scale parameter. If you have to size a Flash movie out of its aspect ratio, the Flash Player must know what to do with any extra room it has to fill. Figure 25-3 demonstrates the different results that the Scale attribute can provide. Only the picture on the left is at its proper dimensions.

Simple majority. This is the simplest form of update function. Agents will change to an alternative strategy if so far they have observed more instances of it in other agents than their present strategy. If more than one strategy has been observed more than that currently adopted, the agent will choose the strategy observed most often. Simple majority with agent types. As simple majority, except that agents are divided into two types. As well as observing each other's strategies, agents in these experiments can communicate with others whom they can 'see', and who are of the same type. When they communicate, they exchange memories, and each agent treats the other agent's memory as if it were his own, thus being able to take advantage of another agent's experiences. In other words, agents are particular about whom they confide in. Simple majority with communication on success. This strategy updates a form of communication based on a success threshold. When an individual agent has reached a certain level of success with a particular strategy, he communicates his memory of experiences with t h s successful strategy to all other agents that he can 'see'. Note, only the memory relating to the successful strategy is broadcast, not the whole memory. The intuition behind this update function is that an agent will only communicate with another agent when it has something meaningful to say. T h s prevents 'noise' communication. Highest cumulative reward. For this update to work, an agent must be able to see that using a particular strategy gives a particular payoff (cf. the discussion in 6). The highest cumulative reward update rule then says that an agent uses the strategy that it sees has resulted in the highest cumulative payoff to date.

In the following subsections, it is assumed that con icts involving several parties may always be broken up in a set of con icts between two parties taking place at the same time..

12 V

3. In the Name text box, replace the default name with a meaningful name for your new set of radio buttons. 4. Each entry in the list represents a separate radio button in the group; the dialog box opens with two filler buttons as an example. Click the first entry in the Label list and replace the word Radio with the label for the first button in your group. Press Tab to move to the Value column, and replace the default with the appropriate value for your button; this is the data that is sent to the server when the radio button is selected.

Let U and V be normed spaces. In this paragraph we show that the space C(U, V ) ,containing all linear operators from U to V , is a normed space. This allows us to consider the convergence and limit for sequences of linear operators, and define closed and open sets of linear operators. This methodology finds important application in the numerical solution of operator equations (including integral equations, PDEs and integro-differential equations), where typically some complicated operator L is approximated by means of a sequence of simpler operators L,, that converge to L in some appropriate sense.

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You can reverse the color coating without ever entering the Quick Mask Options dialog box. Simply Alt-click (Win) or Option-click (Mac) the Quick Mask icon in the Toolbox to toggle between coating the masked or selected portions of the image. The icon itself changes to reflect your choice.

so on. You can make a hidden field visible by opening the Show/Hide Field dialog box and selecting the Hide radio button. Within this dialog box the options for both hiding and showing fields are enabled through radio buttons.

Date/tIMe Month FoRMat CoDe m mm mmm mmmm d dd ddd dddd y yy yyyy H:mm AM/PM H:mm:ss AM/PM hh:mm mm:ss

Voice of the Customer (VOC) in Six Sigma analysis, information gained by observation of a customer s requirements and expectations; the true needs of the customer, as opposed to the assumed needs under which the company operates.

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