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Evolutionary approaches boil down - artificial intelligence:
In fact as we will see whether evolutionary approaches boil down to like (i) just to identify how to represent possible problem solutions and other (ii) is to determining how to choose that partial solutions are doing the best such respect to solving the problem. Conversely the main difference between genetic algorithms and genetic programming is the choice of representation with problem solutions. Therefore in particular way with genetic algorithms, the format of the solution is fixed there like in example a fixed set of parameters to find and the evolution occurs in order to find good values for those parameters. Hence genetic programming, however the individuals in the population of possible solutions are in actually individual programs that can increase in complexity then are not as constrained as in the genetic algorithm approach.
Which approaches do not require knowledge of the system state? Ans. Deadlock detection, deadlock prevention and deadlock avoidance; none of the given require knowledge of the s
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How the system would work in real time - Sensors in/near road gather data (these can be infra-red/light sensors, pressure sensors, induction loops etc.) -data is generally num
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