Humans are predictable players. Verify this claim by implementing a modeller for Rock-Paper-Scissors, which analyses the sequence of human opponent’s choices and predicts the next move. Analysis could be based on statistical data (i.e. it is likely that the human player favours a certain choice), or sequential data (i.e. it is likely that the human player repeats a certain sequence of choices).
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Humans are predictable players. Verify this claim by implementing a modeller for
Rock-Paper-Scissors, which analyses the sequence of human opponent’s choices and
predicts the next move. Analysis could be based on statistical data (i.e. it is likely
that the human player favours a certain choice), or sequential data (i.e. it is likely that
the human player repeats a certain sequence of choices).
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Solved in 2 steps
- Correct answer will be upvoted else Multiple Downvoted. Computer science. Players alternate, Alice moves first. Each turn a player picks any component and eliminates it from the exhibit. In the event that Alice picks even worth, she adds it to her score. On the off chance that the picked esteem is odd, Alice's score doesn't change. Essentially, on the off chance that Bob picks odd worth, he adds it to his score. On the off chance that the picked esteem is even, Bob's score doesn't change. On the off chance that there are no numbers left in the cluster, the game finishes. The player with the most noteworthy score wins. Assuming the scores of the players are equivalent, a draw is announced. For instance, assuming n=4 and a=[5,2,7,3], the game could go as follows (there are different choices): On the principal move, Alice picks 2 and get two focuses. Her score is presently 2. The exhibit an is presently [5,7,3]. On the subsequent move, Bob picks 5 and get five…Assume we have a game that uses synchronized simulation. If we want to extendthe game by including new players, which will become the limiting factor first: thenumber of human players or the number of synthetic players?Let's revisit our first problem, where we want to set up a series of chess matches so we can rank six players in our class. As we did before, we will assume that everyone keeps their chess rating a private secret; however, when two players have a chess match, the person with the higher rating wins 100% of the time. But this time, we are only interested in identifying the BEST of these six players and the WORST of these six players. (We don't care about the relative ordering or ranking of the middle four players.) Your goal is to devise a comparison-based algorithm that is guaranteed to identify the player with the highest rating and the player with the lowest rating. Because you are very strong at Algorithm Design, you know how to do this in the most efficient way. Here are five statements. A. There exists an algorithm to solve this problem using 6 matches, but there does not exist an algorithm using only 5 matches. B. There exists an algorithm to solve this problem using 7 matches,…
- A police academy has just brought in a batch of new recruits. All recruits are given an aptitude test and a fitness test. Suppose a researcher wants to know if there is a significant difference in aptitude scores based on a recruits’ fitness level. Recruits are ranked on a scale of 1 – 3 for fitness (1 = lowest fitness category, 3 = highest fitness category). Using “ApScore” as your dependent variable and “FitGroup” as your independent variable, conduct a One-Way, Between Subjects, ANOVA, at α = 0.05, to see if there is a significant difference on the aptitude test between fitness groups. Identify the correct values for dfbetween and dfwithin A. dfbetween = 7 dfwithin = 7 B. dfbetween = 13 dfwithin = 2 C. dfbetween = 2 dfwithin = 13 D. dfbetween = 2 dfwithin = 2In the context of evolutionary computing the goal function is known as the fitnessfunction and the problem is to maximize it. The typical formulation has to be changedin a simple way.min f (x) = − max[− f (x)] (4.9)Another requirement is that the goal function is positive.Phenotype evolution treats x as a phenotype and the goal function as the fitnessfunction. The typical framework for the method is as follows:Correct answer will be upvoted else downvoted. Monocarp's realm has n urban communities. To vanquish new grounds he intends to construct one Monument in every city. The game is turn-based and, since Monocarp is as yet beginner, he fabricates precisely one Monument for each turn. Monocarp has m focuses on the guide he'd prefer to control utilizing the developed Monuments. For each point he knows the distance among it and every city. Landmarks work in the accompanying manner: when implicit some city, a Monument controls all focuses at distance all things considered 1 to this city. Next turn, the Monument controls all focuses at distance all things considered 2, the turn after — at distance all things considered 3, etc. Monocarp will construct n Monuments in n turns and his domain will overcome all focuses that are constrained by somewhere around one Monument. Monocarp can't sort out any system, so during each turn he will pick a city for a Monument arbitrarily among every…
- The bean machine, also known as a quincunx or the Galton box, is a device for statistics experiments named after English scientist Sir Francis Galton. It consists of an upright board with evenly spaced nails (or pegs) in a triangular pattern, as shown in Figure 10.15. Balls are dropped from the opening of the board. Every time a ball hits a nail, it has a 50% chance of falling to the left or to the right. The piles of balls are accumulated in the slots at the bottom of the board. Write a program that simulates the bean machine. Your program shouldprompt the user to enter the number of the balls and the number of the slots in the machine. Simulate the falling of each ball by printing its path. For example, the path for the ball in Figure 10.15b is LLRRLLR and the path for the ball in Figure 10.15c is RLRRLRR. Display the final buildup of the balls in the slots in a histogram.A certain cat shelter has devised a novel way of making prospective adopters choose their new pet. To remove pet owners’ biases regarding breed, age, or looks, they are led blindfolded into a room containing all the cats up for adoption and must bring home whichever they pick up. Suppose you are trying to adopt two cats, and the shelter contains a total of N cats in one of only two colors: black or orange. is it still possible to pick up two black cats with probability ½, given that there is an even number of orange cats in the room? If so, how many cats should be in the room? How many black, how many orange?As we've seen previously, the world population data spans from 1960 to 2017. We'd like to build a predictive model that can give us the best guess at what the world population in a given year was. However, as a slight twist this time, we want to compute this estimate for only countries within a given income group. First, however, we need to organise our data such that the sklearn's RandomForestRegressor class can train on our data. To do this, we will write a function that takes as input an income group and return a 2-d numpy array that contains the year and the measured population. Function Specifications: Should take a str argument, called income_group_name as input and return a numpy array type as output. Set the default argument of income_group_name to equal 'Low income'. If the specified value of income_group_name does not exist, the function must raise a ValueError. The array should only have two columns containing the year and the population, in other words, it should have a…
- Consider the challenge of determining whether a witness questioned by a law enforcement agency is telling the truth. An innovative questioning system pegs two individuals against each other. A reliable witness can determine whether the other individual is telling the truth. However, an unreliable witness's testimony is questionable. Given all the possible outcomes from the given scenarios, we obtain the table below. This pairwise approach could then be applied to a larger pool of witnesses. Answer the following: 1) If at least half of the K witnesses are reliable, the number of pairwise tests needed is Θ(n). Show the recurrence relation that models the problem. Provide a solution using your favorite programming language, that solves the recurrence, using initial values entered by the user.Correct answer will be upvoted else Multiple Downvoted. Don't submit random answer. Computer science. every cell of the network contains a non-negative integer. Each turn, a player should play out every one of the accompanying activities all together. Pick a beginning cell (r1,c1) with non-zero worth. Pick a completing cell (r2,c2) to such an extent that r1≤r2 and c1≤c2. Lessening the worth of the beginning cell by some sure non-zero integer. Pick any of the most limited ways between the two cells and either increment, lessening or leave the upsides of cells on this way unaltered. Note that: a most limited way is one that goes through the most un-number of cells; all cells on this way barring the beginning cell, yet the completing cell might be altered; the subsequent worth of every cell should be a non-negative integer; the cells are changed freely and not really by a similar worth. On the off chance that the beginning and finishing cells are something very…Correct answer will be upvoted else downvoted. You can play out the activity: select two diverse lists i,j (1≤i,j≤n, i≠j) and two integers x,y (1≤x,y≤2⋅109) so that min(ai,aj)=min(x,y). Then, at that point, change computer based intelligence to x and aj to y. The young lady requests that you make the exhibit great utilizing all things considered n activities. It tends to be demonstrated that this is consistently conceivable. Input The main line contains a solitary integer t (1≤t≤10000) — the number of experiments. The main line of each experiment contains a solitary integer n (1≤n≤105) — the length of the exhibit. The second line of each experiment contains n integers a1,a2,… ,an (1≤ai≤109) — the exhibit which Nastia has gotten as a gift. It's dependable that the amount of n in one test doesn't surpass 2⋅105. Output For every one of t experiments print a solitary integer k (0≤k≤n) — the number of tasks. You don't have to limit this number. In every one…