Part 1: Online Activity Design 1) Select a real-world area or topic of your interest where artificial intelligence could be applied to improve daily life and activities.
You may select from one of the topics described at the links below, or another topic of your choice: ______/ (5 points) https://www.edureka.co/blog/artificial-intelligence-applications/ https://en.wikipedia.org/wiki/Applications_of_artificial_intelligence
2) For your chose topic, think about and describe some of the processes that may be carried out in this setting. Explain how your application of interest could be improved by the use of artificial intelligence. ______/ (10 points)
3) Describe how, in your chosen topic/application of interest, data from prior experiences or from consequences of actions towards the environment could be used for rational decision making.
As part of this task, sketch/describe a model of the task environment for your application of interest, showing the interaction between agent, environment, sensors, actuators, along with consequences of actions. ______/ (10 points)
Part 2: Online Activity Design Description: Prepare a short PowerPoint presentation (about 10 to 15 slides) where you describe the following: 1) Select 3 situations for the real world where artificial intelligence may be used
2) Describe for each of these situations how you would design a “rational agent”. You will want to design agents by specifying the task environment according to PEAS (Performance, Environment, Actuators, and Sensors)
Along with the PowerPoint presentation, in a short report (about 1 to 2, double spaced pages, Word document format), compare and contrast the relationship between the task and environment for each of these 3 real-world situations a) Compare and contrast the representations of the situation/problem in the real world
b) Describe the goals and preferences (Performance measures) that help to assess the degree of success c) Describe how the model may use information from sensors or from within d) Explain how the agent may make decisions (act) given 1) representation of the problem 2) goals and preferences and 3) available information to maximize expected performance (i.e. maximize expected utility)