Lecture 1: Common Cognitive Bias and Problem Complexity Flashcards

1
Q

Common cognitive biases

A

Systematic patterns of deviation from norm or rationality in judgment

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2
Q

Criteria for a good decision process

A
  1. Procedural rationality: procedure that leads to the final decision can be more or less rational
  2. Rational preferences: consistent assumptions in the decision scenario
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3
Q

Procedural rationality

A
  • tackle the right problem
  • put the appropriate effort in information search
  • derive proper expectations using relevant objective data
  • think carefully about objectives and preferences
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4
Q

Rational preference

A
  1. Prospective orientation
  2. Completeness
  3. Transitivity
  4. Independence of irrelevant alternatives
  5. Invariance
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5
Q

Prospective orientation

A

Decisions should be forward looking -> ignore sunk costs

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6
Q

Completeness

A

Decision maker has a preference for any pair of alternatives (indifference is allowed)

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7
Q

Transitivity

A

If a is better than b and b is better than c, then a should be better than c.

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8
Q

Independence of irrelevant alternatives

A

Given the set of alternatives {a, b}, if a is better than be, then for the set {a, b, c}, a should still be preferred over b.

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9
Q

Invariance

A

Preferences should not be affected when the same problem is presented in a different way. (Example: 200 are alive or 400 die)

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10
Q

Why is it important to characterise a good decision?

A
  • Check whether you have done the best job given the resources spent
  • Can you justify the decision even if a bad outcome was realised?
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11
Q

Decompose complex decisions (4 Steps)

A
  1. Objectives (what do you want?)
  2. Alternatives (what can you do?)
  3. Uncertain events (what do you (not) know?)
  4. Outcomes (what is the impact of choices?)
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12
Q

Do we know our objectives?

A

No, people tend to generate an inadequately narrow set of objectives

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13
Q

Where to look for objectives?

A
  1. Obvious insufficiencies: Things your are currently not happy with
  2. Comparison of alternatives: Differences between alternatives might help you to realise what is important to you
  3. Strategic goals: Some objectives are not directly linked to your current decision but of overall interest (e.g. company reputation)
  4. External guidelines: Guidelines should indicate an important objective
  5. Impact of other people: Consider the objectives of other people who might be affected by the consequences of our decision
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14
Q

Fundamental objectives

A
  • relevant for their own sake without further justification

- Example (vehicle regulations): maximise safety, minimise loss of life, …

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15
Q

Means objectives

A
  • relevant because they help to achieve a more fundamental objective
  • Example (vehicle regulations): Educate public, more traffic lights, …
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16
Q

Objectives hierarchy

A
  • Diagram of relationships between objectives, sub-objectives and attributes
  • All objectives in a hierarchy should be fundamental
  • Most general objective at the top
  • Higher levels represent more general objectives
  • Lower levels represent more specific statements
  • Lowest levels represent attributes based in which the alternatives will be compared
  • Attributes are used to characterise performance in relation to an objective
17
Q

Criteria for an ideal set of fundamental objectives

A
  1. Completeness: all fundamental objectives are included
  2. Simplicity: Small set of objective is easier to communicate and estimate
  3. No redundancies: Avoid double counting or overlapping objectives
  4. Preference independence: preferences of a subset of objectives should be independent of the attribute levels of the remaining objectives
  5. Measurability: achievement of objectives should be measurable
18
Q

Attributes

A
  • unambiguous ratings of how well alternatives do with respect to each objective
  • quantitative or qualitative
  • useful for describing consequences of alternatives and making value tradeoffs between objectives
19
Q

A good attribute should be … ?

A
  • Direct
  • Operational: low cost of information collection
  • Comprehensive: attribute levels cover the full range of possible consequences
  • Understandable: units should make sense to the DM
  • Unambiguous: we should have the same interpretation of the same attribute level
20
Q

Types of Attributes

A
  1. Natural
  2. Zero or One Measures
  3. Constructed Measure

-> Prefer natural attributes!

21
Q

Natural Attribute

A
  • Is in general use with a common interpretation by everyone

- E.g. cost in dollar, weight in kg, time in hours

22
Q

Zero or One Measures

A
  • Describe whether the alternatives have a specific attribute or not
  • E.g. Diploma (yes or no)
23
Q

Constructed Measure

A
  • Is developed for a particular decision problem
  • E. g. five point scale to measure ease of use
  • Group natural attributes to obtain a discrete attribute when the natural attribute is to specific (e. g. excellent, good, ok, bad)
24
Q

Goal of decision analysis

A

The goal is to make better, more rational decisions.

  • Prescriptive decision theory aims to teach the method and concepts that support and improve rational decision making
  • Descriptive decision theory aims to raise your consciousness about decision-making by pointing out the errors and biases in it