Problem solving Flashcards

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1
Q

What is problem solving?

A

Generating route to a goal (e.g., electrical fault)

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2
Q

What is decision making?

A

Evaluating alternative outcomes or making

choices (e.g., choose a treatment)

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3
Q

What is reasoning?

A

Drawing further inferences from current

knowledge and beliefs (e.g., Buddhist monk)

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4
Q

What is expertise and skill acquisition?

A

Knowledge as routine (e.g., becoming a doctor)

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5
Q

What did Gilovitch (1981) prove by presenting a hypothetical international crisis to students?

A

Showed systematicity in analogy. Reminding people of Munich 1938 led to more endorsement of US intervention than if reminded of Vietnam.

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6
Q

What is the Gestalt approach to problem solving?

A

Emphasized importance of changes in perspective, prior knowledge, and assumptions. Seeing problem in right way is essential for problem solving.

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7
Q

What is functional fixity?

A

When we develop mental sets: tend to see things in a certain way, use certain solutions. And ultimately fail to notice novel uses of objects. e.g., Duncker’s (1945)
candle problem.

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8
Q

Failing to notice easier solution in Luchin’s jug problem is an example of a…?

A

Mental set.

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9
Q

In response to the largely descriptive Gestalt approach, Newell & Simon (1970) proposed problem solving as a…

A

Search through a problem space of possibilities, e.g. through chess moves.

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10
Q

In Newell & Simon’s problem-solving theory, what is a state?

A

Specification of situation.

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11
Q

In Newell & Simon’s problem-solving theory, what is a goal?

A

Goal: The desired state.

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12
Q

In Newell & Simon’s problem-solving theory, what is an operator?

A

Operator: An action that changes one state into another.

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13
Q

In Newell & Simon’s problem-solving theory, what is a constraint?

A

Restriction on what can be done.

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14
Q

Can every operator be applied in every situation?

A

No

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15
Q

What is a method?

A

A procedure for performing a search for a solution.

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16
Q

When are heuristics used?

A

When an algorithm (guaranteed to produce an answer) cannot be found.

17
Q

Difference between A.I. and human intelligence may be?

A

Humans can find a novel problem and solve it. No one has succeed in doing this with AI, which can solve only well defined problems (e.g. chess).
Maybe because humans have a variety of heuristics.

18
Q

What are 3 general problem-solving methods?

A
  1. Generate-test
  2. Difference reduction
  3. Means-ends analysis
19
Q

What is the generate-test method?

A

Randomly generate solution, then test it. E.g. combination lock with tumblers

20
Q

What is the difference reduction method?

A

Keep applying operators that will take you closer to goal. Find way of measuring distance to goal.

All you need to know is what your goal is and whether steps take you closer.

21
Q

What are the 4 steps of means-ends analysis?

A
  1. Compare current state to goal state
    and identify differences
  2. Select an operator to reduce the largest difference.
  3. If operator cannot be applied set subgoal of creating preconditions for its application.
  4. Return to (1) until goal is reached

e.g. Tower of Hanoi - first set subgoals, then final solution

22
Q

Three pieces of evidence that we do means-ends analysis?

A
  1. Evidence from verbal protocols (Anderson, 1983) – People often spontaneously set subgoals. And they can tell you about them when problem-solving
  2. Egan & Greeno (1974): a problem becomes more difficult with more subgoals.
    – Probability of error increased with the number of subgoals necessary.
  3. Catrambone (1995): better performance in math problem solving when instructed to set subgoals.
23
Q

One piece of evidence that we don’t do means-ends analysis?

A

Patsenko & Altmann (2010) showed that people were not using detailed planning and setting subgoals in Tower of Hanoi.

Changing number of disks during task – by adding extra in saccades – did not change actions. People didn’t notice. So we’re probably using multiple methods - distance-reduction here, means-ends there.

24
Q

How do we use knowledge to cut down search – in a way that computers can’t?

A

By using knowledge. Computers don’t have this. Knowledge can eliminate problem-solving.

25
Q

What is transfer – positive and negative?

A

Transfer – the application of old knowledge to a new problem

Negative transfer: functional fixedness and
mental set

Positive transfer: using prior knowledge to help you solve a problem

26
Q

Analogies provide one form of ________.

A

Analogies provide one form of transfer.

27
Q

The convergence solution experiment of Gick and Hollyoak, 1980 demonstrated what?

A

We can form analogies on basis of structure – i.e. we can solve problems analogically.

28
Q

OO = KK or PS. What is this problem called and whihc animals can do it?

A

Relational match-to-sample. Chimps and pigeons if given lots of training.

29
Q

O is to o as S is to __. Which animals can do this?

A

None.

30
Q

Animals seem to pick up on ________ distinctions, rather than ________ reasoning –same vs different.

A

Animals seem to pick up on perceptual distinctions, rather than relational reasoning –same vs different.

31
Q

Ability to regard things as same or different, regardless of __________, may be uniquely ________ capability.

A

Ability to regard things as same or different, regardless of appearance, may be uniquely human capability.