Problem Solving (3) Flashcards

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1
Q

What is Isomorphism?

A

Things that look the same

Isomorphic: an adjective, corresponding to or similar form and relations

Newell and Simon suggest:

  • We navigate problem spaces
  • isomorphic problems will have similar problem spaces, hence having similar situations
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2
Q

What is an Analogy?

A

A comparison between 2 types of problems, a way of thinking about 2 things in the same way

  • An analogy = a comparison of the structure (or relationship) between the attributes of 2 different things/problems/situations
  • a successful analogy does NOT involve comparing (or mapping) the details (attributes) - it involves a mapping of a/the relationship between attributes
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3
Q

What prior knowledge is there into problem solving?

A

Egan and Greeno, (1974):

  • Experience with a related problem helps complete it = experience is a key factor in problem solving
  • people with a lot of experience in a specific area/domain (experts) seem to be able to solve problems much better/easier than non-experts (novices) or even merely/slightly experienced people
  • Spotting similarities between problems has been identified as part of ‘creativity’
  • it is thought to be a key feature of expertise
  • this is referred to as problem solving by ‘analogy’
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4
Q

What is the atom/solar system analogy?

A
  • Atoms/solar systems are alike
  • both involve similar objects orbiting around larger ones and this rotation is caused by a central force
  • the relationship is important, NOT the identity of the objects
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5
Q

What is analogy and creative thinking?

A
  • Early work on analogy focused on studies of creative people in sciences e.g. Hadamard, (1954) or across areas of expertise e.g. Koestler, (1964)
  • these studies suggest expertise allows people to compare similarities between (very) different ideas and see new connections across domains of knowledge
  • famous analogies have characterised similarities between function of the heat and a pump (harvery), and Rutherford’s atom/solar system analogy
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6
Q

What is analogy and problem solving

A
  • Experts and creative people use analogies; (what about the rest of us?)
  • Gick and Holyoak, (1980 and 1983) examined the use of analogies in problem solving
  • participants received Duncker’s (1945) ‘radiation problem’ to solve = only had a 10% success rate
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7
Q

What is the radiation problem?

A

AN EXAMPLE:

  • a patient has a tumour
  • surgery to remove it etc. will kill the patient
  • tumour is also resistant to chemotherapy
  • radiation therapy destroys the tumour but at intensities high enough to also destroy healthy (brain) tissue
  • students are given a hint = fortress problem
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8
Q

What was Gick & Holyoak’s (1980) study that used the fortress problem?

A
  • Roughly 10% of participants solved the radiation problem
  • 40% of participants who had previously seen the fortress problem solved the radiation problem
  • if participants were given a hint that the fortress problem was useful in helping solve the radiation problem, the success doubled to 80% of participants solving the radiation problem
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9
Q

What study did Kean, (1987) conduct?

A
  • Lack of superficial similarities made analogies difficult to sport e.g. fortress doesn’t look like a patient?
  • in a lecture, researcher(s) presented the participants with either a story about a surgeon using rays to cure a brain tumour (analogous in structure to radiation problem) OR the fortress problem and then had them try to solve the radiation problem a week later
  • 88% of participants initially given the brain tumour story correctly solved the radiation problem
  • compared with 12% of those that were given the fortress problem
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10
Q

What is analogy spotting and what does it do?

A
  • The long term memory is huge and can store many memories - what information is useful to this problem?
  • people can recognise analogous problems, but it isn’t easy
  • Wharton, Holyoak, Downing, Lange, Wickens and Melz, (1994) found these ‘deep’ analogies are used if they can be made distinct from competing memories
  • Helps you solve problems
  • the long term memory is big - which analogy do you go for?
    Strategies to help choose:
  • Tell them the analogy is useful
  • ask people to compare
  • ask people to understand
    (a bit like levels of processing and memory)
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11
Q

What is categorising and comparing analogy spotting?

A
  • Novices tend to rely on on surface similarities rather than structural/relational similarities (Holyoak and Koh, 1987)

Cummins, (1992):
- Presented participants with algebraic (maths) problems)
- 1 group were asked to categories problems
- the other group were asked to compare the problems to one another
Cummins found:
- The ‘categorise’ group relied on superficial details
- whilst the ‘comparison’ group paid attention to the problems’ underlying structure

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12
Q

How can we understand a/the problem in/when using analogy spotting?

A
  • Long term memory isn’t the only problem
  • Needham and Begg, (1991) gave the participants a series of training problems
  • 1 group were told to try and understand the solution to each problem
  • others were told to just remember the problems
  • participants in the ‘understand’ group correctly applied analogous solutions to 90% of the text problems
  • participants in the ‘memory’ group correctly applied analogous solutions to only 69% of the text problems
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13
Q

What is meant by analogy and expertise?

A
  • Memory isn’t enough difficulty wise with analogies
  • understanding and comparing helps
  • what processes does this use? - e.g. schema induction?
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14
Q

What study did Novick & Holyoak, (1991) conduct?

A

Method:
- Researchers got students with different maths abilities to solve a training problem and then several analogous problems (both used the same underlying mathematical principles)

Findings:
- There was a clear positive relationship between (level of) ability and (level of) expertise

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15
Q

What study did Novick, (1988) conduct?

A

Method:
- Research got students that had different maths abilities to sort problem by (their) type

Findings:

  • Better at maths = sort the problems by formulae to solve the problem (useful analogy)
  • worse at maths = sort the problems by similarities in the wording (superficial)
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16
Q

What are experts (in relation to problem solving)?

A
  • Experts appear to not only have large body of domain specific knowledge; it appears to be interlinked or cross referenced so that each bit is associated with other bits which may explain level of abstraction needed to make use of analogies
  • accumulation of knowledge e.g. Gick and Holyoak, (1983) - it is necessary in order to find analogies
  • Hayes, (1985) suggest it takes at least 10 years to become an expert in a domain
  • knowledge seems to be organised so that it cross-references the structural similarity and allows it to be used differently e.g. applied to problems
  • (stored like a template?)
17
Q

What is the template theory?

A
  • Information stored as a template
  • template = (in) abstract form
  • can apply it
18
Q

What are Chess playing experts?

A
  • DeGroot’s chess players
  • well defined problem(s)
  • ranked players on an international scale
19
Q

Who was/is DeGroot, (1965)?

A
  • Compared 5 grand masters and 5 experts
  • grand masters = faster than experts
  • grand masters moves = rated as better by an independent panel of experts
  • grand masters didn’t consider greater number of moves than experts (breadth-first) nor did they think more moves ahead (remember look-ahead) - (how are they doing it?)
  • do grand master have a different representation to experts?
20
Q

Discuss the Chess playing experts study/research

A
  • This should be amenable to memory tests

Procedure:

  • DeGroot showed board positions from games for 2-15 seconds
  • then asked the subjects/participants to recreate the positions

Findings:
- 91% accuracy level in grandmaster
VS
- 41% in less expert players

  • Later on in another/extended study Chase and Simon, (1973a and b)
  • they tried random positions and found no other differences amongst their 3 subjects
21
Q

What did McGregor and Howes, (2002) do/study/find?

A
  • Experts don’t remember actual board positions

- they remembers the attack/defence relationship between pieces which would require an adjustment to the template theory

22
Q

What did Charness, Reingold, Pomplun and Stampe, (2001) do/study/find?

A
  • Eye movements of expert chess players:

Findings:

  • 80% of experts’ fixations (lasting less than a second) were tactically important pieces
  • compared to 64% of intermediate players’ fixations
23
Q

What is Chunking?

A
  • In addition to better memory for board positions, Chase and Simon found that better players tend to ‘Chunk’ pieces

Procedure:
- Players had to look at a board and reproduce it on another board

Findings:
- Players placed groups of pieces on the board and grandmasters produced more tactically relevant groups of pieces

24
Q

What is meant by quantity leads to quality?

A

Simon and Gilmartin, (1973):
- Suggested chess masters have learned 500,000 board positions (chunks of pieces)

Newell and Simon, (1972):
- Suggested master have also learned what to do when confronted with particular chunks of pieces and that this explains why they produce better moves, faster than ‘lesser’ players - i.e. they are selecting among moves they have already learned

25
Q

What is the Template Theory?

A

Gobey and Waters, (2003):

Findings:

  • Found chunking can’t easily explain:
  • A) the higher order representations that chess masters have
  • B) the speed with which chess masters select their moves
  • ‘Chunks of moves’ used frequently are organised into templates
  • each template has a core of information (like a chunk), plus slots (pieces in each configuration which are dependent upon the stage in the game)
26
Q

What are other benefits of being an expert?

A

Novick and Sherman, (2003):

Procedure:

  • Asked experts and non-experts to solve 5 letter anagrams
  • then to choose amongst statements that explained how they came to the solution

Findings:
- Experts = more likely to choose option that the solution just seemed to ‘pop out’ of nowhere

Conclusions:
- Have the experts over learned maybe?