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Full exam for UNCERTAINTY IN ARTIFICIAL INTELLIGENCE in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Uncertainty in Artificial Intelligence – 13/01/2022 Surname ___________________ Name_______________________ Personal ID _________________Signature ____________________ The exam is closed book, and it will not be possible to leave the room before delivering it. The final score is

UNCERTAINTY IN ARTIFICIAL INTELLIGENCEFull exam

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Full exam for UNCERTAINTY IN ARTIFICIAL INTELLIGENCE in the Computer Engineering degree programme at Politecnico di Milano. The document covers: Uncertainty in Artificial Intelligence – 13/01/2022 Surname ___________________ Name_______________________ Personal ID _________________Signature ____________________ The exam is closed book, and it will not be possible to leave the room before delivering it. The final score is

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Uncertainty in Artificial Intelligence – 13/01/2022 Surname ___________________ Name_______________________ Personal ID _________________Signature ____________________ The exam is closed book, and it will not be possible to leave the room before delivering it. The final score is obtained by averaging the score obtained in each part. Part 1 Note: Motivations of choices will substantially contribute to the final score of exercises 1.2 and 1.3 by 0 to 2 points each exercise. No reasonable motivation, no points. Please, consider that a motivation is different from a description. A penalization will also be possible for contents difficult to understand. 1.1 - Uncertainty question [Score 3/31] What is the support of a fuzzy set? 1.2 - Fuzzy Control [Score 15/31] We would like to design a system able to control a robot to avoid an obstacle. The robot has three sensors in front, each detecting the distance to an obstacle in its range (up to 3 m). The robot should avoid the obstacle by following its contour and leaving it when there is free room in front, in the direction it was following when it had encountered the obstacle. Let’s take that the robot has a compass ( It. bussola) and that the orientation w.r.t. North is recorded when facing the obstacle in the variable DIRstart. This system is activated only after an obstacle is detected. Please, select input and output variables of the system, define the corresponding fuzzy sets and how to implement logical operators and defuzzification method, write at least five rules that implement the fuzzy system. Please, remember to motivate your choices. 1.3. Fuzzy Decision System [Score 13/31] Let’s define the rules for the triage system that must define the order of visit of a patient arriving at a COVID First Aid Department of a…

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