Below are the consumer records about the consumer conditions and his consuming behavior. Age < 40...

 

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Below are the consumer records about the consumer conditions and his consuming behavior. Age < 40 Low Yes Fair Yes 31...40 Low Yes Excellent Yes < 40 Medium Yes Fair Yes 40 Medium No Excellent No 31...40 High Yes Fair Yes (a) If you would like to use the Genetic Algorithm to learn the conjunctive classification rule about the behavior of buying computer, how to construct the bit-string and how many bits are required for the running the Genetic Algorithm (b) Briefly describe the procedure of Genetic Algorithm in (a). >40 3. [10 marks] Genetic algorithms can be useful when creating a game where we want to have many 3. [10 marks] Genetic algorithms can be useful when creating a game where we want to have many entities with varied characteristics/attributes. A 32-bit chromosome would give us 4,294,967,296 unique entities. Check the description of the simple MicroAnts game in the notes. Create a description of a game that you think would be a good candidate for genetic algorithms. Be sure to include a design for the proposed chromosomes that your entities would have. Best marks for most imaginative games. Below are the consumer records about the consumer conditions and his consuming behavior. Age < 40 Low Yes Fair Yes 31...40 Low Yes Excellent Yes < 40 Medium Yes Fair Yes 40 Medium No Excellent No 31...40 High Yes Fair Yes (a) If you would like to use the Genetic Algorithm to learn the conjunctive classification rule about the behavior of buying computer, how to construct the bit-string and how many bits are required for the running the Genetic Algorithm (b) Briefly describe the procedure of Genetic Algorithm in (a). >40 3. [10 marks] Genetic algorithms can be useful when creating a game where we want to have many 3. [10 marks] Genetic algorithms can be useful when creating a game where we want to have many entities with varied characteristics/attributes. A 32-bit chromosome would give us 4,294,967,296 unique entities. Check the description of the simple MicroAnts game in the notes. Create a description of a game that you think would be a good candidate for genetic algorithms. Be sure to include a design for the proposed chromosomes that your entities would have. Best marks for most imaginative games.