Problem 3- Problem Solving Flashcards

1
Q

well defined problems

A
  • problems in which the initial state, goal and methods available for solving them are clearly laid out
  • example: chess
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2
Q

ill-defined problems

A
  • definition of problem statement is imprecisely
  • initial state, goal state and methods may be unclear
  • example: being happy
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3
Q

knowledge rich problems

A
  • can only be solved through the use of considerable amounts of prior knowledge
  • chess
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4
Q

knowledge lean problems

A
  • can be solved without use of much prior knowledge

- most of necessary info is provided by the problem statement

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5
Q

gestalt approach - problem solving - by wallace

A
  • productive thinking: solving problems by developing an understanding of problem’s underlying structrue
  • INSIGHT
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6
Q

insight

A
  • suddenly realizing how to solve a problem
  • reorganizing/restructuring of elements of the problem situation in such a way as to provide a solution (productive thinking)
  • ‘aha’ experience
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7
Q

does insight exist?

A

-subjective report, behavioral evidence, neuro-imaging evidence all support a distinction between problem solutions based on insight and those based on more deliberate thought processes

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8
Q

functional fixedness

A

-inability to use an object appropriately in a given situation due to prior experience using it in a different way

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9
Q

Einstellung/mental set

A

-people use a familiar strategy even when there is a simpler alternative or the problem cannot be solved using it

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10
Q

problem space hypothesis

A
  • an abstract description of all the possible states that can occur in a problem situation
  • entire set of nodes occupies some mental area
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11
Q

heuristics

A
  • we heavily rely on heuristics to solve problems

- > rules of thumb that are cognitively undemanding and often produce approximately accurate answers

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12
Q

Means-end analysis

A

-creating a subgoal to reduce the difference between the current state and the goal state

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13
Q

hill climbing

A
  • changing the present state of a problem into one apparently closer to the goal
  • > simpler than means-end analysis, use it when you don’t really understand the problem structure
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14
Q

Progress monitoring

A

-insufficiently rapid progress towards solution leads to the adoption of a different strategy

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15
Q

Generate-and-test technique

A
  • generating possible solutions and then testing them

- useful, when there aren’t a lot of possibilities to keep track of

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16
Q

Incubation and problem solving

A
  • problem is solved more easily by ignoring it for some time
  • mind continues to work on problem unconsciously
  • misleading information is forgotten
  • stronger effect for creative problems with multiple solutions and long preparation time
  • linguistic problem: low cognitive load tasks gave strongest incubation time
17
Q

Representational change theory

A
  • change representation of the problem
  • ways of changing:
  • > elaboration
  • > constraint relaxation
  • > re-encoding
18
Q

How to get more insight

A
  • incubation
  • situation of creative desperation
  • more curiosity about contradictions
  • encouragement of risk taking
19
Q

Backtracking

A
  • in problem solving one makes assumptions

- keeping track of situations where assumptions were made, changing them and moving forward again

20
Q

Reasoning by analogy

A
  • comparing 2 things that are structurally similar and using those similarities to draw some conclusion
  • using past experience and knowledge to assist in current task
21
Q

Working backwards

A
  • analyzing goal to determine the last step needed to achieve it, then the next-to-last step, and so on
  • involves establishing sub-goals (similar to means-end analysis)
22
Q

Duncker candle study

A
  • give participants candle, box of nails and other objects
  • task: attach candle to the wall next to the table so it did not drip onto the table
  • > results: participants attempted to nail candle directly to wall, did not think about nailing box to wall and placing candle inside
  • > functional fixedness
23
Q

Design thinking

A
  • offers structured methodology for generating innovation

- unnatural act for humans

24
Q

expertise

A

chunking theory: memory chunks contain more info and more chunks are stored

template theory: chunks that are used frequently develop into more complex data structures

routine expertise: focus on template thory - using acquired knowledge to solve familiar problems

adaptive expertise: using knowledge to develop (new) strategies

25
Q

analogical problem solving

A

if you already solved a problem in one way and do it again this way

26
Q

creativity

A

ability to produce work that is novel and context appropriate

27
Q

(lecture) Sternberg investment theory

A

creativity is a decision