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Environments:
We have seen that an agents intelligent should take into account certain information when it choose a rational action, including information from its sensors, information and knowledge from the world, from previous states of the world, from its goal and from its utility function(s). We also require to take account some specifics about the environment it workings in. On the surface, this consideration would come out to apply more to robotic agents moving around the real world. However, the considerations also apply to software agents who are receiving data and making decisions which affect the data they receive - in this case we can think of the environment as the flow of information in the data stream. For example, an "AI"agent may be employed to dynamically update web pages based on the requests from internet users.
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my project is in .net of lan chatting its have tcp\ip connection problem
Q. Steps uesd in quine mckluskey method? Step I: Build a table in that every term of expression is represented in row (Expression must be in SOP form). Terms can be expres
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