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Consider again the question from Section 12.1, in Tom Mitchell regarding what criterion to use for choosing among hypotheses when both data and prior...
Consider again the question from Section 12.2.1, in Tom Mitchell regarding what criterion to usefor choosing among hypotheses when both data and prior knowledge are available.Give your own viewpoint on this issue.13.3. Consider playing Tic-Tac-Toe against an opponent who plays randomly. In particular,assume the opponent chooses with uniform probability any open space, unlessthere is a forced move (in which case it makes the obvious correct move).(a) Formulate the problem of learning an optimal Tic-Tac-Toe strategy in this caseas a Q-learning task. What are the states, transitions, and rewards in this nondeterministicMarkov decision process?(b) Will your program succeed if the opponent plays optimally rather than randomly?Problem 3: (Genetic Algorithms; 40 points total)Consider a hypothesis space made of bit-strings of length 20. You are trying to learn a concept over this hypothesis space; this concept corresponds to the subset of the strings that are the positive instances of the concept. For each new 20-bit string you generate (using GA), the teacher tells you if it’s a ‘+’ or a ‘-‘ instance of the concept. Therefore, you can only learn the concept with certainty if you can generate all possible bit strings.(a)
