Lecture 6 - Problem solving Flashcards

1
Q

Definition of problem - Duncker 1945?

A

a situation where a living organism has a goal but does not know how this goals is to be reached

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2
Q

What are the 3 characteristics of problem solving?

A
  1. goal-directed
  2. requires cognitive processes
  3. lack of relevant knowledge to produce an immediate solution
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3
Q

What is a well defined problem?

A
  • problems in which the initial state, the goal and the methods available for solving them are clearly laid out
  • e.g. assembling flat pack furniture
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4
Q

What is an ill defined problem?

A
  • problems in which the problem is imprecisely specified for example the initial state, the goal state and the methods available to solve the problem may be unclear
  • e.g. how do I get a 1st class degree
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5
Q

What is knowledge rich problem?

A
  • problems that can only be solved by those having considerable relevant background knowledge
  • e.g. solving a crossword
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6
Q

What is a knowledge lean problem?

A
  • problems that can be solved by individuals in the absence of specific relevant prior knowledge
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7
Q

Gestalt approach?

A
  • German psychologists who distinguished between reproductive and productive thinking
  • reproductive thinking:
    -> relies on experience to solve the problem
    -> e.g. trial and error learning
  • productive thinking:
    -> coming up with new response or strategies for solving a problem, requires re-structuring of the problem by mentally simulating possible solutions
    -> problem can be solved by engaging in mental simulation
    -> the problem must be restructured so that the solution suddenly becomes clear, an insight
    -> is mostly required on ill-defined problems
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8
Q

What is insight?

A
  • any sudden comprehension, realisation or problem solution that involves a reorganisation of the elements of a persons mental representation of a stimulus, situation or event to yield a non-obvious or non-dominant interpretation
  • the gestalists argued problems requiring productive thinking are often solved using insight
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9
Q

Evidence of insight?

A
  • Kohler (1925)
    -> Sultan the ape
    -> Has to get a banana from outside his cage
    -> Provided with two bamboo sticks that can be joined
    -> demonstrated insight as he learned to put the 2 sticks together to get the banana
  • Birch (1945)
    -> Apes raised in captivity can’t solve the task
    -> May be that sultan had experienced trial and error learning in the wild
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10
Q

Evidence of insight in humans - Maier 1931?

A
  • problem of how to tie 2 strings together
  • p’s told to keep trying until they get the desired solution
  • p’s would experience a flash of insight
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11
Q

Does experience of problems help with problem solving?

A

more experience should lead to better/ faster solutions

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12
Q

What is functional fixity?

A
  • failure to perceive new uses for old objects
  • is a specific form of mental set (effect of experience)
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13
Q

Luchin - effect of mental set on problem solving?

A
  • Water jar study
  • Controlled the past experience
    -> ½ trained on complex 3-jar problems
    -> Rest given no training
  • New problem with 2 jar solution
    -> 95% of no training group used 2 jars
    -> 64% of trained group failed to solve the problem
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14
Q

What is einstellung (mental set)?

A
  • the tendency to use a familiar problem solving strategy that has proved successful in the past even when it is no longer appropriate
  • experience can make you worse
  • mental set can often be useful as it allows successive problems of the same type to be solved rapidly with fewer processing demands
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15
Q

Evaluation of Gestalt approach?

A
  • Introduced and investigated insight as a method of solving problems
  • Emphasised restructuring and ‘representational change’ – very influential concept
  • Showed that experience does not always help problem solving
  • Focus on knowledge-lean, well specified problems
  • Insight and restructuring very vague
    -> Describes what happens during problem solving, but not how it happens
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16
Q

Cognitive approach?

A
  • problem solving involves a series of cognitive operations that transform information from 1 state to another
  • problem space = an abstract description of all the possible states that can occur within a given problem
    -> we move from the initial state to the goal state by changing the way in which we represent the problem in different ways using different operations
17
Q

Computational approach- Newell & Simon?

A
  • developed a computer stimulation of human problem solving = ‘general problem solver’
  • designed to solve well defined problems
  • assumptions of the general problem solver:
    -> information processing is serial
    -> we have limited short term memory capacity
    -> relevant information can be retrieved from LTM
18
Q

What are the 2 heuristics (rules of thumb) for selecting operations identified by Newell and Simon?

A
  1. means end analysis
    -> identify difference between current state and goal
    -> form a subgoal that reduces this difference
    -> perform operation that will attain subgoal
    -> e.g. following instructions to assemble IKEA furniture by making sub-components
  2. Hill-climbing
    -> change current state to a state that more closely resembles the goal
    -> used if you don’t really know how to solve the problem
    -> e.g. assembling IKEA furniture without instructions
19
Q

Representational change theory?

A
  • Ohlsson developed the Gestalist approach in his representational change theory
  • According to this theory the initial stage of problem solving involves forming a mental representation of the problem
  • After that we access various mental operators that might be applied to this representation only 1 which is selected and used at any given time
20
Q

What are the 3 ways to change representation of problems?

A
  1. Elaboration: Adding more information about the problem
  2. Constraint Relaxation: changing what is permissible to solve the problem
  3. Re-encoding: changing how some aspect of the problem is interpreted
    - Similar to Gestalt theory, but more specific about how insight is achieved
21
Q

Evaluation of cognitive approach?

A
  • Ideas of problem space and heuristic search appear critical to understanding problem solving
  • Works well with well defined, knowledge poor problems
  • Restructuring does appear to help with many insight problems
  • General Problem Solver may not always operate in the same way as humans
  • Not a general theory of problem solving
  • Cannot account for phenomenological experience of insight
  • May ultimately be specific to certain types of problem