1. Homepage
  2. Exam
  3. [2021] COMPSCI 367 Artificial Intelligence - Final Exam - Question 20 Decision Network

[2021] COMPSCI 367 Artificial Intelligence - Final Exam - Question 20 Decision Network

This question has been solved
Engage in a Conversation

20 Consider a student who is completing an online exam. She has the choice of cheating by paying someone else to do the exam. But if she does this, there is a chance that she will be caught by the lecturer and fail the course. She would like to construct a decision network to make the decision. There is a single decision node, A, indicating whether the student chooses to cheat or not. There are two chance nodes, B, indicating whether she is caught cheating, and C, indicating whether she passes the exam. The utility of the student depends on whether she passes the exam, and whether she cheats. The cost of cheating is 100 for paying the other person to do the exam. The cost of failing the course is 1000. The utility is the negation of the total cost (i.e., the sum of the cost of cheating and the cost failing, if there is any). CourseNana.COM


CourseNana.COM

The conditional probability estimates are as follows: CourseNana.COM

P(B | A) = 0.6 P(B | not A) = 0 CourseNana.COM

P(C | A, B) = P(C | not A, B) = 0 P(C | A, not B)=0.9
P(C | not A, not B)=0.5
CourseNana.COM

  1. Construct the decision network for this problem. In the textbox, list all the directed edges in the decision network.
    Remark: An edge from node
    x to node y can be written as (x,y).
  2. Compute the expected utility of cheating and not cheating.
  3. What should the student choose?

The answers to all questions are meant to go into the one textbox at the bottom of the question. CourseNana.COM


CourseNana.COM


CourseNana.COM

Fill in your answer here CourseNana.COM

Get the Solution to This Question

WeChat (微信) WeChat (微信)
Whatsapp WhatsApp
COMPSCI 367代写,Artificial Intelligence代写,Markov Decision Process代写,THE UNIVERSITY OF AUCKLAND代写,PDDL代写,COMPSCI 367代编,Artificial Intelligence代编,Markov Decision Process代编,THE UNIVERSITY OF AUCKLAND代编,PDDL代编,COMPSCI 367代考,Artificial Intelligence代考,Markov Decision Process代考,THE UNIVERSITY OF AUCKLAND代考,PDDL代考,COMPSCI 367help,Artificial Intelligencehelp,Markov Decision Processhelp,THE UNIVERSITY OF AUCKLANDhelp,PDDLhelp,COMPSCI 367作业代写,Artificial Intelligence作业代写,Markov Decision Process作业代写,THE UNIVERSITY OF AUCKLAND作业代写,PDDL作业代写,COMPSCI 367编程代写,Artificial Intelligence编程代写,Markov Decision Process编程代写,THE UNIVERSITY OF AUCKLAND编程代写,PDDL编程代写,COMPSCI 367programming help,Artificial Intelligenceprogramming help,Markov Decision Processprogramming help,THE UNIVERSITY OF AUCKLANDprogramming help,PDDLprogramming help,COMPSCI 367assignment help,Artificial Intelligenceassignment help,Markov Decision Processassignment help,THE UNIVERSITY OF AUCKLANDassignment help,PDDLassignment help,COMPSCI 367solution,Artificial Intelligencesolution,Markov Decision Processsolution,THE UNIVERSITY OF AUCKLANDsolution,PDDLsolution,