Now design a reactive controller for the same task. This controller may not memorize past sensor measurements. (It may not build a map!) Instead, it has to make all decisions based on the current measurement, which includes knowledge of its own location and that of the goal. The time to make a decision must be independent of the environment size or the number of past time steps. What is the maximum number of steps that it may take for your robot to arrive at the goal

4.9: population write a program that will predict the size of a population of organisms. the program should ask the user for the starting number of organisms, their average daily population increase (as a percentage, expressed as a fraction in decimal form: for example 0.052 would mean a 5.2% increase each day), and the number of days they will multiply. a loop should display the size of the population for each day. prompts, output labels and messages.the three input data should be prompted for with the following prompts: "enter the starting number organisms: ", "enter the daily increase: ", and "enter the number of days the organisms will multiply: " respectively. after the input has been read in successfully, a table is produced, for example: 2 300.0 4 675.0 under the heading is a line of 29 dashes followed by one line for each day, showing the day number and the population at the beginning of that day. input validation.do not accept a number less than 2 for the starting size of the population. if the user fails to satisfy this print a line with this message "invalid. must be at least 2. re-enter: " and try to read the value. similarly, do not accept a negative number for average daily population increase, using the message "invalid. enter a non-negative number: " and retrying. finally, do not accept a number less than 1 for the number of days they will multiply and use the message "invalid. enter 1 or more: ".