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def decode_entities(self, data): data = data.replace( < , < ) data = data.replace( > , > ) data = data.replace( " , ) data = data.replace( ' , ) data = data.replace( & , & ) return data def translate_prop_name(self, name): map = self.PROP_MAPS[self._version] if self.in_entry and map.has_key( entry ): return map[ entry ].get(name, name) if not self.in_entry and map.has_key( feed ): return map[ feed ].get(name, name) return name PROP_MAPS = { rss10 : { feed : { dc:date : modified , webmaster : author , managingeditor : author , guid : id , }, entry : { dc:date : modified , description : summary , guid : id , } }, rss20 : { feed : { pubdate : modified , webmaster : author , managingeditor : author , guid : id , }, entry : { pubdate : modified , description : summary , guid : id , } }, atom03 : { }, } PROP_MAPS[ atom ] = PROP_MAPS[ atom03 ] PROP_MAPS[ rss ] = PROP_MAPS[ rss20 ]

6. From the Bindings panel, drag proptype to the cell under the Type label, desc under Description,

Here s a great shortcut. When you need the Move tool, you can hold down the Command/Ctrl key to temporarily access it. This saves switching tools just to move

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system out of them This is not normally an issue, because if we build a system, then we design the objects that go in it, and they can thus be assumed to share a 'common goal' But in many types of multiagent system (in particular, those that contain agents built by different organizations or individuals), no such common goal can be assumed It cannot be taken for granted that an agent i will execute an action (method) a just because another agent j wants it to - a may not be in the best interests of i We thus do not think of agents as invoking methods upon one another, but rather as requesting actions to be performed If j requests i to perform a, then i may perform the action or it may not.

The locus of control with respect to the decision about whether to execute an action is thus different in agent and object systems In the object-oriented case, the decision lies with the object that invokes the method In the agent case, the decision lies with the agent that receives the request This distinction between objects and agents has been nicely summarized in the following slogan Objects do it for free; agents do it because they want to Of course, there is nothing to stop us implementing agents using object-oriented techniques For example, we can build some kind of decision making about whether to execute a method into the method itself, and in this way achieve a stronger lund of autonomy for our objects The point is that autonomy of this lund is not a component of the basic object-oriented model.

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The second important distinction between object and agent systems is with respect to the notion of flexible (reactive, proactive, social) autonomous behaviour The standard object model has nothing whatsoever to say about how to build systems that integrate these types of behaviour Again, one could object that we can build object-oriented programs that do integrate these types of behaviour But this argument misses the point, which is that the standard object-oriented programming model has nothing to do with these types of behaviour The third important distinction between the standard object model and our view of agent systems is that agents are each considered to have their own thread of control - in the standard object model, there is a single thread of control in the system Of course, a lot of work has recently been devoted to concurrency in object-oriented programming.

When you have completed all the other changes to your image in Camera Raw, you are ready to open the Detail tab shown in Figure 8.40, where you can adjust the sharpness and reduce noise in your image. You make these adjustments last because their effectiveness is reduced when other adjustments are added to them.

For example, the Java language provides built-in constructs for multi-threaded programming There are also many programming languages available (most of them admittedly prototypes) that were specifically designed to allow concurrent object-based programming But such languages do not capture the idea of agents as autonomous entities Perhaps the closest that the object-oriented community comes is in the idea of active objects An active object is one that encompasses its own thread of control. . Active objects are generally autonomous, meaning that they can exlubit some behaviour without being operated upon by another object Passive objects, on the other hand, can only undergo a state change when explicitly acted upon..

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