Write A Skeletal Version of the Learning Algorithm for Static Processes?

Some “yes/no” questions can be answered correctly by some algorithm. Otherquestions place constrains on parameters to filter the solutions and perhaps select a best answer depending on some criterion. Other questions have no known computable answer.

Why not explore programming methods? Why are there so many paradigms? Really? Please clarify.

Modify the simulate() method in the Simulator class to work with the revised interface of ParkingLot and the new peek() method in Queue. In addition, implement the getIncomingQueueSize() method of Simulator using the size() method of Queue. The getIncomingQueueSize() is going to be used in the CapacityOptimizer class (next task) to determine the size of the incoming queue after a simulation run.   CODE TO MODIFY IN JAVA: public class Simulator { /** * Length of car plate numbers */ public static final int PLATE_NUM_LENGTH = 3; /** * Number of seconds in one hour */ public static final int NUM_SECONDS_IN_1H = 3600; /** * Maximum duration a car can be parked in the lot */ public static final int MAX_PARKING_DURATION = 8 * NUM_SECONDS_IN_1H; /** * Total duration of the simulation in (simulated) seconds */ public static final int SIMULATION_DURATION = 24 * NUM_SECONDS_IN_1H; /** * The probability distribution for a car leaving the lot based on the duration * that the car has been parked in…