tHat end in 111h, c) that contain "111 but not more that three consecutive "1"s 5. "Hand run" the backtrack algorithm on the graph in Figure 3.29 of Luger (6th edition). Begin from 6. Trace the goal-driven good-dog problem of Example 3.3.4 of Luger (6h edition) in a data-driven 7. With the Levenshtein metric of Section 4.1.2 of Luger (6th edition), use dynamic programming to state A. Keep track of the successive values of NSL, SL, CS, etc. fashion. determine the minimum edit distance from source strings sensation and excitation to target string execution. tHat end in 111h, c) that contain "111 but not more that three consecutive "1"s 5. "Hand run" the backtrack algorithm on the graph in Figure 3.29 of Luger (6th edition). Begin from 6. Trace the goal-driven good-dog problem of Example 3.3.4 of Luger (6h edition) in a data-driven 7. With the Levenshtein metric of Section 4.1.2 of Luger (6th edition), use dynamic programming to state A. Keep track of the successive values of NSL, SL, CS, etc. fashion. determine the minimum edit distance from source strings sensation and excitation to target string execution