Lecture 05 - Decision Analysis with Uncertainty

Lecture 05 - Decision Analysis with Uncertainty - Lecture 5...

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1 Lecture 5 Decision Analysis Uncertainty and Decision Making DADSS
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2 Administrative Details Homework #3 Due Thursday Office hours  TA’s Monday and Wednesday 5:00-8:00 in  PH223 conference room Fischbeck’s Wednesday 1:30-3:00 in his  office PH208F Questions from last class? Readings are in the text, Chapter 10
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3 Decision Problem Strong Moderate Weak Bonds 12 6 3 Stocks 15 3 -2 T-Bill 6.5 6.5 6.5 Choices States
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4 Heuristics Optimist: Maxi-Max (best of the best) Pessimist: Maxi-Min (best of the worst) Mixture of optimism and pessimism Hurwicz with  α =percent optimist Rational (Laplace) all states equally likely:  Maxi-Average (best average) Regret: Mini-Max-Regret Satisficing
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5 Failures of Simple Decision Rules Laplace, Hurwicz, Regret,  etc . are all  useful rules in many cases, but – like all  heuristics – they fail in certain cases The use of heuristic rules must include  recognition of their limitations
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6 Min/Max Counterexample Optimism Pessimism Maximax Alt 1 9 8 9 Alt 2 10 -50,000 10 Maximin Alt 1 31 10,000 31 Alt 2 32 33 32
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7 Regret Counterexample Payoffs Regret Minimax Alt 1 8 0 0 4 4 Alt 2 2 4 6 0 6 Payoffs Regret Minimax Alt 1 8 0 0 7 7 Alt 2 2 4 6 3 6 Alt 3 1 7 7 0 7 But suppose we now add another alternative…
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8 Hurwicz Counterexample Alt 1 100 0 0 0 Alt 2 0 100 100 100 Which does the Hurwicz criterion indicate is the better project?
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9 Laplace Counterexample Good Bad EV Alt 1 22 30 26 Alt 2 46 10 28 Suppose we’re uncertain about the weather: But what if we structured the problem as: Bad Weather Good Rain Fog Snow EV Alt 1 22 30 30 30 28 Alt 2 46 10 10 10 19
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10 What’s Causing the Problems? These methods all give too little or too  non-specific attention to probabilities More importantly, their treatment of  probabilities can introduce biases and  distort answers We need a more general theory of  making decisions
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11 Choice and Consequence
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Lecture 05 - Decision Analysis with Uncertainty - Lecture 5...

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