TD L3 L4

  1. judgement
    • evaluation of evidence
    • ie how likely is it to rain
  2. decision making (choice)
    selecting a course of action
  3. 3 theories on judgement/decision making
    • Normative
    • Descriptive
    • Prescriptive
  4. normative (ideal, should)
    • norm of how we ought to think in an ideal world to achieve ideal outcomes 
    • optimisation or consistency
  5. descriptive (reality, does)
    describes how limitedly rational beings actually or typically think in the real world with less than ideal outcomes
  6. prescriptive
    • prescribes how limitedly limited beings can or should think in the real world to achieve closer to ideal outcomes 
    • derived from normative theories
  7. Normative Theories of Judgement
    • Monty Hall Problem 
    • Bayes Theorem
    • conjunctive & disjunctive events
    • expected value and expected utility
  8. Probability Notation
    • P(A)= probability of A
    • P(A&B) = P(A) * P(B) = probability of A and B
    • P(A|B) = probability of A, given B
  9. Prior Probability
    • base rate, baseline estimate
    • best estimate before new info
  10. Common Errors (Bayes)
    • confusion of the inverse (test comes back 90% positive if have cancer vs 90% chance of cancer )
    • ignoring false alarm rate (no cancer but positive result)
    • ignoring prior probabilities (what percentage of people like THIS have cancer)
  11. Conjunctive Events
    • compound/"and" events
    • everything must be right to ensure a successful outcome (one error ruins everything)

    less likely than any of their parts.
  12. Disjunctive Events
    • compound event/"or" events
    • only one piece needs to be right to ensure a successful outcome

     at least as likely as any of their parts.
  13. how to be more normative
    • use prior probabilities more appropriately 
    • break compound events into single events
  14. Value (V)
    • objective monetary value 
    • applies for options that are certain
  15. expected value (EV)
    monetary value AND likelihood of each outcome

    EV = p(heads)(*(v(heads) +(p(tails)(*(v(tails)
  16. utility (U)
    subjective value, measured in "utils"differs across people and situations
  17. expected utility (EU)
    subjective value and likelihood of each outcome
  18. subjective expected utility (SEU)
    subjective value and subjective likelihood
  19. evaluating choice options
    • V: objective monetary value 
    • – doesn’t vary across people or situations

    • EV: objective monetary value and objective  probability
    • – varies across situations, but not people

    • U: subjective value
    • – varies across people and situations

    • EU:subjective value and objective probability
    • – varies across people and situations

    • SEU: subjective value and subjective probability
    • – varies across people and situations
    • – most idiosyncratic
  20. expected value theory
    • people should choose the option with the highest EV (EV to predict behaviour)
    • keep in mind diminishing the marginal utility
    • issue is pricing non-monetary outcomes
  21. expected utility theory
    • deals with issues of expected value theory
    • an explicit set of axioms (assumptions) that underlie rational decision making

    **violated axiom = not maximised SEU
  22. Axioms of EU Theory
    • 1. connectedness (rank alternatives)
    • 2. dominance (pick dominant alternative)
    • 3. transitivity (a>b and b>c, then you must prefer a>c).
    • 4. independence (ignore similar info look at differences)
  23. Allias Paradox
    mainly to do with phrasing and our tendencies to drift towards loss aversion. Can rephrase 2 options so it's essentially the same thing (e.g. 90 percent to live and 10% to live, same thing)
Author
misol
ID
345230
Card Set
TD L3 L4
Description
thinking and decision making
Updated