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Decision Making

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Overconfidence. Questionnaire examples. What magazine had the largest circulation in 1978? ... Overconfidence. COGNITIVE ILLUSIONS. Types of Decision models ... – PowerPoint PPT presentation

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Title: Decision Making


1
Decision Making
http//blog.potterzot.com/wp-content/uploads/2007/
09/decision-making.jpg
2
Important aspects of decision making
3
Basic concepts of probability
  • Probability
  • 0 (no probability) 1 (definitely will happen)
  • Most people overestimate

4
Basic concepts of probability
  • Probability

5
Phases of decision making
  • Rationality

6
Cognitive illusions
  • Heuristics
  • Ex. take the best
  • Biases (Cognitive Illusions)

7
Cognitive illusions
  • Availability

8
Cognitive illusions
  • Representativeness
  • Conjunction fallacy
  • Linda is a bank teller.
  • Linda is a bank teller and is active in the
    feminist movement.

9
Cognitive illusions
  • Representativeness
  • Law of small numbers
  • Gamblers Fallacy
  • hot hand
  • man who arguments

http//www.lincolnshirecoastalcasino.co.uk/_media/
_images/roulette_wheel.jpg
10
Cognitive illusions
  • Framing Effect

11
Cognitive illusions
  • Anchoring

8x7x6x5x4x3x2x1 1x2x3x4x5x6x7x8
12
Cognitive illusions
  • Sunk Cost Effects

13
Cognitive illusions
  • Illusory Correlation

Under stress Not under stress
Hair-twister 20 10
Not a hair-twister 80 40
14
Cognitive illusions
  • Hindsight Bias

15
Cognitive illusions
  • Confirmation Bias

16
Cognitive illusions
  • Overconfidence
  • Questionnaire examples
  • What magazine had the largest circulation in
    1978?
  • A) Time B) Readers Digest
  • Who began the profession of nursing?
  • A) Nightingale B) Barton

17
Example of a calibration curve.
Cognitive illusions
  • Overconfidence

18
Types of Decision models
  • Normative models
  • Prescriptive models
  • Descriptive models

19
Utility models
  • Expected Utility Theory

Lottery A 1 10 of winning 10 2-4 10 of
winning 5 5-10 no money
(.1 X 10) (.3 X 5) (.6 X 0) 1.60
20
Utility models
  • Expected Utility Theory

Lottery A 1 10 of winning 10 2-4 10 of
winning 5 5-10 no money
Lottery B 1 10 of winning 100 2-4 10 of
winning 1 5-10 no money
(.1 X 100) (.3 X 1) (.6 X 0) 10.30
(.1 X 10) (.3 X 5) (.6 X 0) 1.60
21
Descriptive Models
  • Recognition-Primed Decision Making

22
What are some ways to avoid poor decisions?
  • Be wary of over-confidence
  • Intuition vs. equations/computers
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