final exam weeks 7 and 8 Flashcards

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1
Q

problem definiton

A

gap between a present state and a goal state

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2
Q

dominant approaches to problems = ?

A

information processing approach and gestalt approach

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3
Q

information processing approach

A

Involves search for solution using “mean-end analysis” and creating subgoals
- associated with non insight problems

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4
Q

gestalt approach

A

Problem solving is a process involving restructuring the problem (monk example) → once reconstructed, problem may be easy
- associated with insight problems

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5
Q

restructuring

A

process of changing a problem’s representation

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6
Q

fixation

A

people’s tendency to focus on a specific characteristic of the problem that keeps them from arriving at a solution

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7
Q

non-insight problem

A

apply very linear process to solve (math problem; algebra solve for x)

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8
Q

insight problem

A

aha moment - requires a shift in perspective and view the problem in a novel way to achieve solution
(monk problem)

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9
Q

functional fixedness

A

effect that occurs when the ideas a person has about an object’s function inhibit the person’s ability to use the object for a different function

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10
Q

affordness

A

uses of objects are partly what defines them

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11
Q

mental set

A

a preconceived notion about how to approach a problem, determined by previous knowledge/experience

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12
Q

operators

A

in problem solving, permissible moves that can be made toward a problem’s solution

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13
Q

intermediate state

A

the various conditions that exist along the pathways between the initial and goal states

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14
Q

problem space

A

initial state, goal state, and all possible states for a particular problem

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15
Q

means end analysis

A

seeks to reduce the difference between the initial and goal states. This is achieved by creating subgoals, intermediate states that are closer to the goal

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16
Q

analogy

A

making a comparison in order to show a similarity between two different things

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17
Q

source problem

A

a problem or story that is similar to the target problem and provides information that can lead to a solution to the target

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18
Q

surface features

A

specific elements that make up a problem

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19
Q

analogical paradox

A

people find it difficult to apply analogies in lab settings, but routinely use them in real-world ones

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20
Q

experise : pros

A
  • more organized knowledge
  • solve problems faster
  • better snap judgements
  • > likely to notice deep features of a problem
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21
Q

expertise : cons

A
  • no better than movies when given problems outside their field
  • less likely to be open to new ways of look at problems
22
Q

deductive reasoning

A
  • top down
    making a conclusion based on generally accepted statements or facts
23
Q

in deductive reasoning, if premises are correct….

A

conclusion will be correct and will always follow from premises

24
Q

inductive reasoning

A

making an inference based on observations

25
Q

bayesian inference

A

making predictions based on previous experience

26
Q

heuristics

A

a ‘rule of thumb’ that provides a best guess solution to a problem

27
Q

avaliability heuristic

A

Events that are more easily remembered are judged as being more probable than events that are not
e.g cows vs sharks; which is more dangerous

28
Q

illusory correlations

A

correlation that appears to exist between two events, when in reality, there is no correlation or its is weaker than it is assumed to be

29
Q

stereotype

A

a oversimplified generalization about a group of people that often focuses on negative characteristics

30
Q

Representativeness heuristic

A

The probability of an event A comes from class B can be determined by how well A resembles the properties of class B

31
Q

base rate fallacy

A

tendency to disregard the information on base rates in favour of descriptive information

32
Q

confirmation bias

A

tendency to look for information that confirms our beliefs and overlooks information that is against it

33
Q

myside bias

A

people generate and test hypothesis in a way that is biased towards their own opinions and attitudes

34
Q

expected utility theory

A

assumes people are rational, and will (if they have relevant information) make decisions that result in maximum expected utility (in most desirable outcome given the goals)
- e.g jelly bean example

35
Q

prospect theory

A

our decisions reflect values we assign to gains and losses; instead of values we assign to outcomes (influenced by emotions)

36
Q

risk aversion

A

tendency to avoid taking risks because we magnify the anticipated negative effects of a possible loss

37
Q

risk seeking strategy

A

we attempt to mitigate hte effects of a potential loss by taking a risk

38
Q

sadder but wiser hypothesis

A

suggest that being in a sad mood may positively improve decision making by making it more careful and deliberate and less influenced by biases

39
Q

peoples are more likely to engage in ___ ___ behavior when choices are presented as gains

A

risk avoiding

40
Q

people are more likely to engage in ____ _____ behavior when choices are presented as losses

A

risk taking

41
Q

when we make a decision, we compare it to what?

A

context and other decisions

42
Q

framing

A

decisions are influenced by how the choices are stated

43
Q

status quo bias

A

tendency to do nothing when faced with making a decision

44
Q

opt in / opt out procedure

A

choosing for/ against a course of action
- people tend not to override the default choice made for them

45
Q

syllogism

A

series of 3 statements: two premises followed by a conclusion

46
Q

validity

A

quality of a syllogism whose conclusion following logically from its premises

47
Q

belief bias

A

tendency to think a syllogism is valid if its conclusion is believable or that its invalid if the conclusion is not believable

48
Q

mental model

A

a specific situation that is represented in a person’s mind

49
Q

conditional syllogism

A

two premises and a conclusion (if..then)

50
Q

falsificiation principle

A

reasoning principle that to test a rule, it’s necessary to look for situations that would falsify the rule

51
Q

evolutionary perspective on cognition

A

idea that many properties of our minds can be traced to the evolutionary principles of natural selection