Leture 4 - part: problem solving Flashcards

1
Q

behaviorism approach - problem solving

A
  • Edward Lee Thorndike
  • > cat experiment, cat has to escape
  • > problem solving by trial and error
  • > criticism: random process (reproductive thinking)
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2
Q

gestalt psychology - importanant early result

A
  • Wolfgang Köhler
  • WW1 -> monkeys on island he experimented with
  • > provided them with 2 sticks to reach a banana
  • > sticks to short
  • > sticks had to be sticked together to reach banana
  • > understanding it -> insight
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3
Q

main hypothesis - gestalt

A
  • problem solving requires productive thinking! (insight)

- > reorganzing/restructuring of problem situation’s elements to provide a solution

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4
Q

Barriers to problem solving

-gestalt

A
  • mental set -> using familiar strategy with past success when it is inappropriate
  • functional fixedness -> inability to detach form object’s usual function when needed (2 string tasks)
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5
Q

how to overcome barriers

A

-through getting hints

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6
Q

remote associates test

-gestalt

A
  • having 3 words

- they have to link with a single word, that has something in common with the 3 words

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7
Q

strength gestalt approach

A
  • interesting phenomena (e.g.insight etc.) which animated further research
  • some concepts still applicable today (e.g. Design thinking)
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8
Q

weaknesses gestalt approach

A
  • no explanations of underlying mechanisms (from example insights)
  • focus on very artificial problem situations (string task)
  • disregards intuitive, reproductive problem solving
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9
Q

problem space hypothesis -prior history

A
  • Newell and Simon
  • > information processing approach to problem solving
  • mind works like computer
  • developed problem solver (computer)
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10
Q

main hypothesis - problem space

A
  • problem situation represented in problem space
  • initial state, goal state, mental operators, intermediate states
  • human mind: limited processing capacity!
  • > use of heuristics
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11
Q

hill climbing VS Means-end analysis (heuristics)

A

hill climbing

  • > strategy is very simple
  • > doing everything that gets you closer to the hill/goal
  • > works for ill defined problems

Means-end analysis

  • > note difference to goal
  • > form subgoal to reduce difference
  • > select mental operator
  • > for well-defined problems
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12
Q

progress monitoring

A
  • monitor progress
  • slow progress
  • strategy change
  • very adaptive
  • good for ill defined problems
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13
Q

strengths problem space hypothesis

A
  • proposes mechanisms how to solve problem -> detailed explanations
  • applicable to many scenarios
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14
Q

weaknesses problem space

A
  • cannot explain insight problem solving (from gestalt)

- general problem solver (computer) is very different from real world human problem solving

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15
Q

representational change theory

A

-insight through change of problem representation

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16
Q

ways to change representations

A

1) constraint relaxation
- > if blocked , the ‘block’ is removed
2) re-encoding
- > re-structure/organize
3) elaboration
- > something is added

17
Q

R.C in comparison to gestalt

A
  • like Gestalt
  • > stresses insight in Problem solving
  • unlike Gestalt
  • > provides detailed explanation of mechanisms
18
Q

R.C. in comparison to problem space

A
  • like Problem space
  • > assumes information processing (kind of)
  • unlike
  • > productive thinking
  • > solution