Week 10 - Problem Solving Flashcards

(57 cards)

1
Q

define thinking

A

higher-order cognition built on other aspects of cognition involvein creating/usnig knowledge rather than extractin –> doing somehting with products of perception, memory + language

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2
Q

what are we doing to mental representations when we think and in service of what (Holyoak + Morrison)

A

transforming, goal

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3
Q

why is thinking hard? 3 reasons

A
  • built on other, fallible aspects of cognition
  • evolutionarily recent, frontal lobes differentially activated + pushed to limits
  • we know we make mistakes and we don’t like it
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4
Q

does uscinski say there’s more conspiracy now than ever?

A

no

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5
Q

what bias helps us deal with uncertainty? what does it involve

A

confirmation bias - seek out info confirming what we believe, relieving feelings of uncertainty + balloooning beliefs in conspiracy

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6
Q

define heuristic

““Is it going to rain today?” uncertain → “is the sky dark or not?” certainty” <- what does that mean

A

rules of thumb that are often effective but not guaranteed.

replaces a hard question with an easier one

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7
Q

do heuristics lead to predictable errors when we use these shortcutrs

A

yes

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8
Q

define similarity heuristic. example?

A

things that look similar will have similar properties –> homeopathic medicine proposes that diseases are cured by the same substances that cause them, but diluted

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9
Q

define agency bias

A

we attribute intention and motives to others’ behaviour

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10
Q

define proportionality bias

A

big things may have big causes, important event = important reason for ti

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11
Q

how do analogies help us understand? how do they help conspiracies?

A

reusing old information in new ways, finding similarities between different situations

if there was once a conspiracy (watergate) there must always be a conspiracy

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12
Q

according to Holyoak + Morrison, thinking acts on ____ and how we ___ situations can determine how we deal with them

A

representation, represent

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13
Q

when pennington + Hastie studied mock juries, they found that for the prosecution if events are presented chronologically and coherently rather than the defence how the witness actually saw them, would juries convict more

A

yes

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14
Q

define problem solving

A

transforming a situation to achieve our goals

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15
Q

Caledonian crows can do what? what does this suggest? or do some people think it’s different

A

problem solve, find paths to get meat out of a tube by bending wire .

they make mental representations, some people think they already use twigs like this in the wild

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16
Q

define the gestalt approach. what kind of problem solving does it relate to? (tutorial)

A

emphasising the importance of changing perspective to solve problems/restructuring understanding.

insight

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17
Q

Kohler 1925 used chimps, what did they do to get the banana hanging above? what does this imply

A
  • stacked boxes
  • didn’t just do things randomly, but had a mental representation of the goal
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18
Q

the buddhist monk problem is easy if…

A

you think about it in the right way and represent it mentally differently - flip + swap

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19
Q

the crows: are females better? how many /17 trials did a female crow get the meat

A

yes, 10

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20
Q

wertheimer 1945 is associated w what two things

A

insight problem solving, functional fixity

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21
Q

define functional fixity

A

inability to see objects beyond their typical use, blocking insight

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22
Q

define a mental set

A

tendency to approach problems in a certain way based on past experiences, which can limit creativity

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23
Q

describe what Duncker’s 1945 candle problem show, specifically the difference between when the box was empty or full of pins

A

86% solve when it’s empty, 41% when it’s full
* shows that people are impeded by functional fixedness when the box is in use as holding pins

24
Q

apollo 13 example, brief

A

working out how to filter out carbon dioxide, ground control used everything they knew was in the module then sent instructions back –> overcoming funcitonal fixity saves lives

25
define set effects. which experiment showed this? how does it relate to conspiracy
if you find a solution to a problem that works, you'll keep doing it that way even if there's an 'easier' way Luchins 1942, water jug way people think they have a certain solution, don't try thinking about problems in a different way
26
what's the example about planets relating to set effects Le Verrier conspiracy theorists?
Le Verrier noticed wobbles in Uranus' atmosphere, predicted the location of a new planet (Neptune) Then he tried to discover a new planet the same way in Mercury's orbit, failed over and over again conspiracy: immune to evidence that a method/solution isn't working
27
why was gestalt criticised?
* seemed descriptive * didn't account for the actual process behind making new representations
28
Newell + Simon 1970 proposed problem solving as a process of what? can search be both physical and mental
searching through a problem space of possibilities yes search can be both physical and mental
29
problem solving: define a state
specification/representation of a situation
30
problem solving: define operators
actions that change one state into another e.g. in chess making a move, putting an opponent in a state where they're chackmated
31
problem solving: define solution
sequence of operators tha trasnform initial state into goalstate
32
heuristic strategies used in search are slow T/F
f
33
outline generate-test approach. do you know if you're getting closer to the solutiuon
random generation of a solution, then testing it. no.
34
advantage/disadvantages to generate-test
adv: requires no knowledge dis: generation difficult, large search space, slow
35
outline difference reduction (hill climbing)
taking small steps to reduce the difference between the current state and goal state as efficiently as possible
36
adv/disav to difference reduction (hill-climbing)
adv: steps can be small, don't have to know much to generate steps except what moves you in direction of goal dis: requires *some* knowledge, may not be possible/desirable to get closer at EVERY step
37
Does using an "algorithm" guarantee you the solution?
yes
38
when bruce tries to do his laundry in an earthquake, will difference reduction help him?
no
39
outline means-end analysis
breaking a problem down into smaller sub-problems and systematically reducing the difference between the current state and the goal state, not necessarily in a way that gets you constantly closer (linearly) to the goal
40
what are the steps of means-ends analysis
compare, operator, subgoal, repeat 1. compare current and goal state, identifying the differences 2. select an operator to reduce the largest difference 3. if the operator can't be applied, set the subgoal of creating preconditions for its application (might even take you further away from your goal initially) 4. return to (1.) until goal is reached
41
is it easy to show people systematically applying a full means-end analysis ?
no
42
egan + greeno 1964 showed that problem difficulty correlates with what
how many subgoals you need
43
Catrambone found better performance in math problem solving when...
instructed to set subgoals
44
what does the 9-ball problem tell us about criterion of satisfactory progress and means-ends analysis?
most people don't really think about the 2nd weighing --> Means-ends assumes people fully plan out everything, but does support criterion of satisfatory planning which is to reduce the distance between current and goal state
45
what are the 2 heuristics used in problem solving shown in the 9 ball problem
* maximisation of progress towards goal (putting as many balls on the scale as possible) * minimisation of search space (equal no's of balls on each side)
46
adv/disadv of problem space theory
adv: solving many problems can be seen as search of space disadv: underplays role of knowledge in problem solving
47
outline the role of knowledge in problem solving (3)
* if you know the solution there's no problem * knowledge gives us initial representations * knowledge can provide us w wrong representations (when all u have is a hammer everything looks like a nail)
48
what is problem space theory in problem solving
navigating through a mental space of possible states, using strategies to move from a starting point to a goal
49
define transfer * positive transfer? * negative transfer?
application of old knowledge to a new problem * positive: use prior knowledge to help * negative: functional fixedness, mental set
50
analogies can facilitate...
transfer
51
when people are given an analogy about a fortress and separating troops, do they do better solving the x-ray problem? what about when you give them a hint to use the analogy?
yes! and double yes, they do better
52
is there a testable theory of problem solving? why/why not?
NO * search is more description than testable * different processes likely underlie different phenomena termed 'problem solving' so there might not be one single theory
53
well-defined problems examples
clear initial state, goal, rules * puzzle, maths
54
ill-defined problems
ambiguous, unclear elements * writing an essay, designing a product
55
knowledge-rich problems
domain-specific knowledge requirements * diagnosing medical conditoin
56
knowledge-lean problems
can be solved using general cognitive strategies * logic puzzles
57
define the criterion of satisfactory progress. what does it explain?
principle guiding how people choose operators: only chosen if they appear to reduce the difference between current and goal states explains why people abandond ineffective strategies