Lecture 3 - Bayes' Theorem and human rationality Flashcards

1
Q

(lecture):

Describe what being ‘rational’ is.

A

(lecture):

Being rational is not the same as being right: it’s about being sensitive to all relevant evidence in a situation and the usefulness/informativeness of that evidence when it comes to dealing with uncertainty about the judgement you’re trying to make.

(see page 1/2 on G doc notes for an example)

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2
Q

(lecture):

Read orange writing on page 2 on G doc notes.

A

(lecture):

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3
Q

(lecture):

Read purple writing on page 2-4 on G doc notes.

A

(lecture):

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4
Q

(lecture):

Describe a study that investigates the presentation of data and the way in which we can improve people’s reasonings.

A

(lecture):

See the red/orange writing on page 3 on G doc notes.

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5
Q

(lecture):

What are the 2 types of probability?

A

(lecture):

  • Frequentist
  • Bayesian
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6
Q

(lecture):

Describe the difference between frequentist and bayesian probability.

A

(lecture):

“Frequentist”:

  • “Dice-rolling”-type probability
  • Based on well-defined sampling procedures
  • Type usually taught in probability/statistics

“What is the probability that two dice rolls sum to 6?”

“Bayesian”:

  • “Single-event” probability
  • Updates of “personal” probability
  • Associated with (potentially informed) subjective beliefs

“What is the probability that it will rain tomorrow?”

This is a personal thing that you’re updating with evidence. This is a single event, not ‘what’s the probability that it will rain on days like today?’. So, this is not sampling from a population.

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7
Q

(lecture):

Describe how Cosmides & Tooby, 1996 investigated the 2 different probabilities (frequentist and bayesian).

A

(lecture):

See end of page 4-6 on G docs notes.

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8
Q

(lecture):

Describe what (Gigerenzer, 1991, p. 109) and (Kahneman & Tversky, 1996, p. 589) debated about the 2 types of probability (frequentist and bayesian).

A

(lecture):

See page 6 on G doc notes.

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9
Q

(lecture):

Things to get out of the lecture/reading:

  • Some of the sorts of methodologies/experiments researchers use to investigate judgement and decision making. You can change data presentation in ways that seem irrelevant but then gain a different result.
  • How the way people perform in those tasks is used to make inferences about psychological processes (e.g., heuristics) underlying that performance.
  • Why particular patterns of performance in particular tasks is taken to suggest the existence of particular kinds of underlying psychological processes.
  • How those inferences might change if we question the methodological choices and the assumptions implicit in the argument relating performance to process.
A

(lecture):

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