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An assignment focused on artificial intelligence, covering search techniques like hill-climbing and a*, peas model descriptions, and neural network applications in disease diagnosis. It includes questions on pathfinding algorithms, heuristic validity, and model selection, providing a practical approach to ai problem-solving. The assignment also explores the application of ai in real-world scenarios such as flood activity reporting, covid-19 detection, pothole filling, smart greenhouses, and gas leak detection systems, enhancing its relevance and educational value. Suitable for students studying ai and machine learning, offering a comprehensive set of exercises to test their understanding of key concepts and techniques. It encourages critical thinking and problem-solving skills, making it a valuable resource for academic study and practical application.
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COMP 413 AI. Assignment 1
a) You and some friends are lost in a new city. You get into a big fight about the best way to find a path from your start position (S) to your goal (G), and so you split up and each try a different search technique. You and your friends always break ties in lexicographic order.
i) One of your friend Tom decides to try Hill-Climbing using an extended list, because it seems like the easy way out. What is the final path that Tom will find? ii) How many times will Tom need to backtrack, show your workings. iii) James suggests that you use an A* search using both the heuristic and an extended list, show James tree like solution. iv) What is the final path that James will find? v) Kamau is still skeptical about the results so far. he proposes a branch-and-bound search instead. Will Kamau search produce the same path as James? If so, explain why. If not, explain why not b) Describe PEAS model for the following AI agent An agent that reports threat of flood activity in Kenya: An agent to detect COVID-19 Virus NAKURU-KABARAK pothole filler agent
Green house smart agent Gas leak detection system c)
d) Assume we have a set of data from patients who have visited KABARK health care centre during the year 2023, A set of features (e.g., temperature, height) have been also extracted for each patient. Your goal is to decide whether a new visiting patient has any of diabetes, heart disease, or Alzheimer disease (a patient can have one or more of these diseases).As an Machine learning expert ,you have decided to use a neural network to solve this problem which has two choices: either to train a separate neural network for each of the diseases or to train a single neural network with one output neuron for each disease, but with a shared hidden layer. Which method do you think will be appropriate given the above scenario? Justify your answer. e) Suppose you are asked to find the shortest path from H to G in the graphs below. For both of the graphs explain why the heuristic values shown are not valid for A*. Note the differences in the graphs at nodes F and E.