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Decks in this class (22)
Lecture 1: Common Cognitive Bias and Problem Complexity
Common cognitive biases 1,
Criteria for a good decision proc...,
Procedural rationality 3
24
cards
Lecture 1 (End of Chapter Questions)
Why is decision making difficult 1,
What are the requirements for rat...,
What are the basic components of ...
10
cards
Lecture 2: Making Decisions with Multiple Objectives under Certainty
Rational preference 2 conditions 1,
Conflicting objectives 2,
Steps to solve decision problems ...
21
cards
Lecture 2 (End of Chapter Questions)
What does conflicting objective m...,
How does a non additive value fun...,
What are the requirements for rep...
6
cards
Lecture 3: Determination of Weights
Interpretation of weights within ...,
Methods to determine attribute we...,
Swing method steps 3
13
cards
Lecture 3 (End of Chapter Questions)
What are the methods to generate ...,
What is the drawback of the direc...,
Explain the details of the experi...
4
cards
Lecture 4: Incomplete Information
Incomplete information 1,
Sensitivity analysis steps 2,
What is the sensitivity analysis ...
8
cards
Lecture 4 (End of Chapter Questions)
How can you check for the sensiti...,
Can you still make decisions if y...,
How do you conduct a test for dom...
3
cards
Lecture 5: Inconsistent Information
Over determined system of equatio...,
Redundancies 2,
Error minimization approach 3
5
cards
Lecture 5 (End of Chapter Questions)
When would you use error minimiza...,
How do you conduct error minimiza...,
Why is a transformation of the ob...
3
cards
Lecture 6: Decision Making under Risk
When do we need to take uncertain...,
What kind of graphical representa...,
Components of an influence diagram 3
17
cards
Lecture 6 (End of Chapter Questions)
How can you represent uncertainti...,
How can you visualise a decision ...,
What are the advantages and disad...
4
cards
Lecture 7: Bayes' Theorem and the Value of Imperfect Information
Signal definition 1,
Reducing uncertainty 2,
Bayes theorem 3
18
cards
Lecture 7 (End of Chapter Questions)
What does bayes theorem say why i...,
How do you flip an event tree 2,
How do you calculate the value of...
5
cards
Lecture 9: Subjective Probabilities, Heuristics and Biases
Subjective probability 1,
Probability elicitation methods 2,
Direct method steps 3
13
cards
Lecture 9 (End of Chapter Questions)
How can you elicit probabilities 1,
Explain availability bias with an...,
Explain hindsight bias with an ex...
6
cards
Lecture 10: Expected Utility Theory and Risk Attitudes
What is the problem of using expe...,
How can risk attitudes be analysed 2,
How can we rank risky alternatives 3
22
cards
Lecture 10 (End of Chapter Questions)
What is ce what is rp what is ris...,
How can you measure risk attitude...,
What are the differences between 3
4
cards
Lecture 11: Prospect Theory
Framing effect 1,
What is the problem of a concave ...,
What is the problem of eut regard...
14
cards
Lecture 11 (End of Chapter Questions)
Why does the allais paradox viola...,
Explain the certainty effect 2,
What are the main differences bet...
6
cards
Lecture 12: Cumulative Prospect Theory
Pt violation of stochastic domina...,
Cumulative prospect theory 2,
What is the difference between pt...
8
cards
Lecture 12 (End of Chapter Questions)
What is the difference between de...,
What is the shortcoming of prospe...,
What is the difference between pt...
3
cards
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Decision Analysis
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