Consider the same Simulated Annealing problem as the previous question. Pick the statement that best describes what happens in the next iteration of the Simulated Annealing algorithm. s3, s4, and s5 are equally likely to be the next state s1 is more likely than s2 to be the next state s1 and s2 are equally likely to be the next state s1 is most likely to be the next state
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- In attached image, there are 5 states, a, b, c, d, e. Two actions are available for each state: East, West except for the exit states a and e, where the only action available is “Exit”. The transition is deterministic. The rewards of the exit states are given as shown in Image. A) For γ= 1, what is the true utility ? (Please fill the form completely) Example response format: 10 10 10 10 10 (Please note the space!) B) For γ = 0.1, what is the true utility? Example response format: 10 0.1 10 10 0.1 (Please pay attention to the space!) C) For which γ are West and East equally good at state d? (please take to the fourth decimal place)Example response format: γ = 0.1234 (take to the fourth decimal place, please pay attention to the space!)Correct answer will be upvoted else downvoted. Computer science. in case there are two planes and a molecule is shot with rot age 3 (towards the right), the cycle is as per the following: (here, D(x) alludes to a solitary molecule with rot age x) the primary plane delivers a D(2) to the left and lets D(3) progress forward to the right; the subsequent plane delivers a D(2) to the left and lets D(3) progress forward to the right; the primary plane lets D(2) forge ahead to the left and creates a D(1) to the right; the subsequent plane lets D(1) progress forward to one side (D(1) can't create any duplicates). Altogether, the last multiset S of particles is {D(3),D(2),D(2),D(1)}. (See notes for visual clarification of this experiment.) Gaurang can't adapt up to the intricacy of the present circumstance when the number of planes is excessively huge. Help Gaurang find the size of the multiset S, given n and k. Since the size of the multiset can be extremely huge, you…Using the state elimination method, construct regular expressions equivalent to the following NFAs. Show the GNFA after each state is eliminated until only the two added states remain. (1) Eliminate the states in the order specified. C. Po b.& P₁ b P2 Eliminate po, then p1, then p2
- Make sure your response addresses the following items. What are the values of b,l for the indicated start state if states are represented by (b,l)? Prove that P((b,l)) is true for the indicated start state. What does assuming P((b,l)) to be true translate to mean within the context of this problem? Prove that P((b,l))⟹P(δi(b,l)) for any of the possible transitions δi where i∈{1,2,3,4}. Use the fact that P((b,l)) is true for any reachable state to show that no player will ever win the game. Please answer all questionsMake an assignment of state values to the three states x, w, and v in the state diagram below, e.g., x is 00. Give the truth table that is equivalent to the diagram and contains the columns p0, p1, b, n0, n1, and z, where p0p1 represents the present state and n0n1 represents the next state.Suppose we have a state diagram with n states and k different actions. How many ways could we construct a transition function for this diagram?
- a) Explain on Simulated Annealing algorithm behaves at very high temperatures, and how it behaves at very low temperatures. (b) Imagine the implementation of Simulated Annealing algorithm in real life. Let's say, you have a caretaker at your home. Your home has a garden and it has a fountain with a network of pipes that contains 150 faucets. You informed your caretaker that you are going for short holiday to Langkawi for 3 days and when you return you would like the fountain to spray as high as possible. Your caretaker knows that it is impossible to check all faucets within 3 days to obtain an optimal setting. You can use Simulated Annealing algorithm to maximize the height of the fountain, also can assume whether a faucet can be ON or OFF and measuring the water height. Adding to that, you can make any other assumptions required for this scenario, explain clearly using Simulated Annealing algorithm.Correct answer will be upvoted else Multiple Downvoted. Computer science. There is an endless 2-dimensional framework. The robot remains in cell (0,0) and needs to arrive at cell (x,y). Here is a rundown of potential orders the robot can execute: move north from cell (i,j) to (i,j+1); move east from cell (i,j) to (i+1,j); move south from cell (i,j) to (i,j−1); move west from cell (i,j) to (i−1,j); stay in cell (i,j). The robot needs to arrive at cell (x,y) in as couple of orders as could really be expected. In any case, he can't execute a similar order at least twice in succession. What is the base number of orders needed to reach (x,y) from (0,0)? Input The main line contains a solitary integer t (1≤t≤100) — the number of testcases. Every one of the following t lines contains two integers x and y (0≤x,y≤104) — the objective directions of the robot. Output For each testcase print a solitary integer — the base number of orders needed for the robot to…The state transition diagram for a Turing machine that performs unary increment is shown below. FIGURE 12.6 1/1/R State 1 6/1/R State 2 State diagram for the incrementer Show how this Turing machine will process the input "1111111". You are required to show the configuration of the Turing machine at the beginning of the execution and after each execution step until the Turing machine halts.
- The probability of event A occurring is 10/10. The probability of event B occurring is 0/10. What is the entropy of this system?Computer Science You are told that state machine A has one input x, and one output y, both with type {1, 2}, and that it has states {a, b, c, d}. You are told nothing further. Do you have enough information to construct a state machine B that simulates A? If so, give such a state machine, and the simulation relation.Correct answer will be upvoted else downvoted. Computer science. Right from the start, Polycarp is in the 1-st position and acquires 1 tugrik. Presently he has 1 tugrik; On the subsequent day, Polycarp is in the 1-st position and move to the 2-nd position. Presently he has 0 tugriks; On the third day, Polycarp is in the 2-nd position and procures 3 tugriks. Presently he has 3 tugriks; On the fourth day, Polycarp is in the 2-nd position and is moved to the 3-rd position. Presently he has 1 tugriks; On the fifth day, Polycarp is in the 3-rd position and procures 10 tugriks. Presently he has 11 tugriks; On the 6th day, Polycarp is in the 3-rd position and procures 10 tugriks. Presently he has 21 tugriks; After six days, Polycarp can get himself another PC. Track down the base number of days after which Polycarp will actually want to get himself another PC. Input The principal line contains a solitary integer t (1≤t≤104). Then, at that point, t experiments…