Decision Making Flashcards

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1
Q

What Is judgement?

A

deciding on the likelihood of various events using incomplete information

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2
Q

What is decision making?

A

selecting one option from several possibilities

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3
Q

What is Bayesian inference?

A

tells us how our initial beliefs should be updated by evidence or experience to produce posterior probabilities
uses baye’s theorem to calculate a probability of a hypothesis

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4
Q

What is Bayes’ theorem?

A

“degree of belief” is quantified by probability
observed data is used to update prior beliefs to become posterior beliefs

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5
Q

Kahneman and Tversky (1972) taxicab problem

A

cab involved in an accident
85% of cabs are green, 15% are blue
women identifies can as blue
but when tested, she was wrong 20% of the time

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6
Q

What was the probability that cab was blue?

A

41%

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7
Q

How did bayesians get to that result?

A

12% chance that witness correctly identifies blue cab (15% x 80%)
17% chance of witness incorrectly identifying green cab as blue (85% x 20%)
29% chance the witness identifies cab as blue (12% + 17%)
41% chance cab identified as blue is blue (12% divided by 29%)

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8
Q

According to Bayes’ theorem, people making judgements should take into account the base rate info, what is base rate information?

A

the relative frequency of an event within a given population
base rate info is often ignored

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9
Q

Kahneman and Tvertsky: heuristics

A

most people given judgement tasks use rules of thumb or heuristics

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10
Q

What are heuristics?

A

strategies that ignore part of the information with the goal of making decisions more quickly
they often reduce the effort associated with cognitive tasks

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11
Q

What is representativeness heuristic?

A

assumption that an object belongs to a specific category because it is representative of that category

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12
Q

What is conjunction fallacy?

A

mistaken assumption that the probability of a conjunction of two events (occurring at same point) is greater that the probability of one of them

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13
Q

Krynski and Tenenbaum (2007): heeding base rates

A

we possess valuable causal knowledge allowing us to make accurate judgements using base rate info in everyday lives

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14
Q

What is availability heuristic?

A

frequencies of events can be estimated accurately by the subjective ease with which they can retrieved
relies on immediate info at the time

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15
Q

What is affective heuristic?

A

using ones emotional responses to influence rapid judgements or decisions

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16
Q

What is anchoring and adjustment heuristic?

A

judgements are influenced by a reference point (anchor) which can be completely irrelevant

17
Q

Gigerenzer: heuristics

A

argued heuristics are often very reliable when judging probabilities or making decisions

18
Q

Gigerenzer: 3 examples of reliable heuristics

A

fast and frugal (rapid processing of limited info)
Take-the-best (sequence of search rule, stopping rule and decision rule)
recognition heuristic

19
Q

Kahneman: probability judgments depend on processing within 2 systems

A

system 1 = fast, automatic, effortless
system 2 = slower, effortful

20
Q

Von Neumann and Morgenstern

A

treated decisions as if they were gambles
outcome of a decisions is unknown

21
Q

What are the key assumptions of Kahneman and Tvertsky’s prospect theory?

A
  • people identity a reference point representing their present state
  • people are more sensitive to potential losses than potential gains
22
Q

What is loss aversion?

A

where people are more sensitive to potential losses than potential gains

23
Q

What is risk aversion?

A

where people prefer a sure gain to a risky (but potentially greater) gain

24
Q

What is framing effect?

A

the finding that decisions can be influenced by situational aspects which are irrelevant to optimal decision making
e.g choosing yogurt that says 80% fat free over one that says 20% fat

25
Q

What is sunk costs effect?

A

refers to investing additional resources to justify a previous commitment that has s far proved unsuccessful

26
Q

What are evidence accumulation models?

A

a category of computational models used to understand cognitive processes responsible for decision making
gradually accumulating evidence overtime to final decision can be made

27
Q

Who came up with the Drift diffusion model?

A

Ratcliffe and McKoon

28
Q

What does the Drift Diffusion model involve?

A

3 parameters:
- drift rate (captures sensitivity to stimulus, rate they accumulate evidence)
- boundary separation (priories speed or accuracy)
- non decision time

29
Q

When boundaries / thresholds are distanced, what does this mean for ppts reaction time?

A

ppts are slower but more accurate

30
Q

How do ppts with ASD respond in perceptual decision making tasks compared to controls?

A

ppts with ASD respond slower than controls in perceptual decision making tasks

31
Q

What do people with autism prioritise in decision making?

A

ASD ppts priorities accuracy over speed of a decision
they are more cautious and conservative
set threshold much wider